Vital and Health StatisticsSeries 20: Data From System No, 21 the National Vital Statistics This...

Vital andHealth StatisticsMortality SurveillanceSystem:the First

Models FromYear

Series 20:Data FromSystemNo, 21

the National Vital Statistics

This report describes the Mortality Surveillance System and presents the statisticalcharts and text from its first year, as published in the 12 issues of the /Month/yVital Statistics Report, Vol, 38, No, 2 –Vol. 39, No, 1,

U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICESPublic Health Service

Centers for Disease Control and PreventionNational Center for Health Statistics

Hyatfsville, MarylandMay 1993DHHS Publication No. [PHS) 93-1858

Copyright Information

All material appearing in this report is in the public domain and may bereproduced or copied without permission: citation as to source, however, isappreciated.

Suggeeted Citation

Chevarley FM, Godfrey AE, Rosenberg HM, et al. Mortalitf surveillance system:Models from the first year. National Center for Health Statistics, Vital Health Stat20(21), 1993.

Librery of Congress Cataloging-in-Publication Data

Mortality surveillance system: Models from the first year.p. cm. – (Vital and health statistics. Series 20, Data from the National

Vital Statistics System; no. 21) (DHHS publication: no. (PHS) 93-1 858)“This report describes the Moflality Suweillance System (MSS) and

presents the statistical charts and text from its first year, as published in the 12issues of the Monthly Vital Statistics Report, volume 38, number 2–volume 39,number l.”

Authors: Frances M. Chevarley and others.Includes bibliographical references,ISBN O–8408G0468-81. Mortality– United States. 2. Death –Causes– Statistics, 3. Uruted

States – Statistics, Medical. 4. United States – Statistics, Vital. I Chevarley,Frances M. Il. National Center for Heaith Statistics (U.S.) Ill, Series. IV. Series:DHHS publication; no. (PHS) 93-1858.

[DNLM: 1. Epidemiologic Methods. 2. Mortali~– United States.3. Population Surveillance– mathods– United States. W2 A N148vt no. 21]HB1335.A18 no. 21[RA407.3]304.6’4’0973’021 –dc20DNLM/DLCfor Library of Congress 92+8958

CIP

For sale bythe U.S, Government Printing OfficeSuperintendent of DocumentsMail Stop: SSOPWashington, DC 20402-9328

National Center for Health Statistics

Manning Feinleib, M.D., Dr. P.H., Director

Jack R. Anderson, Acting Depug Director

Jacob J. Feldman, Ph. D., Associate Director for Analysisand Epidemiology

Gail F. Fisher, Ph. D., Associa[e Direcrorfor Planning andExtramural programs

Peter L. Hurley, Associa[e Direclor for Vital a/zd Heal[lzStatistics Systems

Robert A. Israel, Associate Director for IntemafiorzalStatistics

Stephen E. Nieberding, Associafc Dircc[orforManagement

Charles J. Rothwell, Associate Director ,for DLLIaProcessing ond Services

Monroe G, Sirken, Ph. D., Associate Director for Researchand Methodology

David L. Larson, Assistant Director, Atlanta

Office of Vital and Health Statistics Systems

Peter L. Hurley, Associate Director

Division of Vital Statistics

John E, Patterson, Director

James A. Weed, Ph. D., Depu& Director

Harry M. Rosenberg, Ph. D., Chief Mortali~ StatisticsBranch

Mabel G. Smith, Chie~ Statistical Resources Branch

Joseph D. Farrell, ChieJ Systems and ProgrammingBranch

Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Sources of data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Statistical model, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Discussion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Mortality SurveiHance System. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

List of detailed tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Text table

Topics for the first year of the Mortality Surveillance System: MVSRissues, Vol. 38, N0.2–VOI. 39, Noe l...,....

List of figures

1.‘7-.

3.4.5.6.7.

s,

().

10!

11.

1~.

13.

14.

15.

16.

17$

Death rates perlOO,OOO femaIes45-54 years of age bymonth: United States, 1981-S8. . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO males 45-54 years of age bymonth: United States, 19S1-&3. . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO femaIes55-64 years of age bymonth: United States, 19S1-St3. . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO males 55-64 years of age bymonth: United States, 1981-St3. . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO females 65–74 years of age bymonth: United States, 19S1-&3.. . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO males 65-74 years of age bymonth: United States, 19S1-SS. . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 femaIes 35–44years ofage for Malignant neopIasms of respiratory and intrathoracicor,gans, by month: United States, 19S1-SS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 35-44 years of age for Malignant neopIasms of respiratory and intrathoracicorgans, by month: United States, 19S1–SS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 45–54years ofage for Malignant neopIasms of respiratory and intrathoracicorgans, by month :UnitedStates, 19S1–SS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 45–54years ofage for Malignant neoplasms of respiratory and intrathoracicorgans, by month: United States, 19S1–SS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO females 55–64 years of age for Malignant neoplasms ofrespiratory and intrathoracicorgans, by month: United States, 19S1–SS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55–64years ofage for Malignant neoplasms of respiratory and intrathoracicorgans, by month: United States, 19S1–SS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 45-54 years of age for Chronic obstructive pulmonary diseases and alliedconditions, bymonth: United States, 19S1–SS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 45–54 years of age for Chronic obstructive pulmonary diseases and alliedconditions, by month: United States, 19S1–SS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 55-64 years of age for Chronic obstructive puImonary diseases and alIiedconditions, bymonth: United States, 1981–SS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55-64 years of age for Chronic obstructive pulmonary diseases and alliedconditions, bymonth: United States, 19S1–SS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,00(f females 65-74 years of age for Chronic obstructive pulmonary diseases and aIIiedconditions, bymonth: United States, 19S1–SS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

1

333

4444

6

42

43

2

66778s

9

9

10

10

11

11

12

12

13

13

14

...Ill

18.

19.

2(.).

21.

22.

23.

24.25.

27.

28.

’29.

30.31.

32.

33.

34.

35.

36,

37.

38.39.

40.41.

4~.43.

44.

45.

46.

47.48.49.

50.

Death rates per 10(.),000 males 65-74 years of agc for Chronic obstructive pulmonary diseases and alliedconditions, bymonth: United States, 1981–S8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 15–24 years of age for Accidents and adverse effects, by month: United States,1982–S9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 15-24 years of a.ge for Accidents and adverse effects, bymonth: United States,1982-89, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per llN1,OOOfemales 15-24 years of age for Homicide and legal intervention, by month: UnitedStates, 1982-89, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 15–24years ofage for Homicide and legal intervention, bymonth: United States,1982–89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO females 15-24 years of age for Suicide, bymonth: United States, 1982-89.. . . . . . . . .Death rates per100,0OO males 15-24 years of age for Suicide, bymonth: United States, 1982-89. . . . . . . . . . . .Death rates per 100,000 females 55–64years ofage for Accidents and adverse effects, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOOmales 55-64 years of age for Accidents and adverse effects, bymonth: United States,1982-S9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO females 55-64 years of age for Chronic liver disease and cirrhosis, by month: UnitedStates, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55-64 years of age for Chronic liver disease and cirrhosis, bymonth: UnitedStates, 19S2-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO females 55-64 years of age for Suicide, bymonth: United States, 1982-89. ..,..,...Death rates per 100,OOL)males 55-64 years of age for Suicide, by month: United States, 1982-89 . . . . . . . . . . . .Death rates per 100,000 females 55-64 years of age for Malignant neoplasms of digestive organs andperitoneum, by month: United States, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55–64 years of age for Malignant neoplasms ofdigestive organs andperitoneum,by month: United States, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 65–74 years of age for Malignant neoplasms of digestive organs andperitoneum, by month: United States, 1982–89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per100,0OLl males 65-74years ofage for Malignant neoplasms ofdigestive organs and peritoneum,by month: United Statcs,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 55-64 years of age for Malignant neoplasms of breast, by month: UnitedStates, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 65-74 years of age for Malignant neoplasms of breast, by month: UnitedStates, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 45-54 years of age for Diseases of heart, by month: United States,l~82_~~....,,,,...,...., . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Death rates per 100,000 males 45-54 years of age for Diseases of heart, by month: United States, 1982-89 . . .Death rates per 100,000 females 55–64 years of age for Diseases of heart, by month: United States,1982–89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55-64 years of age for Diseases of heart, by month: United States, 1982-89 .,,Death rates per 100,000 females 65-74 years of age for Diseases of heart, by month: United States,1982-S9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 65-74 years of age for Diseases of heart, by month: United States, 1982-89 . . .Death rates per 100,000 femaIes 55–64years of age for Cerebrovascular diseases, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55–64 years of age for Cerebrovascular diseases, by month: United States,l~82_8~.,$....,,....... ,, ., . ., . . . . . . . .+....... ,., ,, ... +. .. +. . . . . . ..<< . ..$. . . . . . .

Death rates per 100,000 females 65–74 years of age for Cerebrovascular diseases, by month: United States,1982–89, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 65–74 years of age for Cerebrovascular diseases, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per100,0OO females 75-S4 years of age for Septicemia, bymonth: United States, 1982-89., . . . . .Death rates perlOO,OOO males 75-84 years ofagefor Septicemia, bymonth: United States, 1982-89 . . . . . . . .Death rates per 100,000 females 25–34 years of age for Motor vehicle accidents, by month: United States,l~82_8~........,.,..., . ...,,,,...,....,,,,, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Death rates per 100,000 males 25-34 years of age for Motor vehicle accidents, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

14

15

15

16

161717

18

18

19

192020

21

21

22

22

23

23

2424

2525

2626

27

27

28

282929

30

30

iv

51.

52.

534

54.

55.

56.

57.

58.

59.

60.

61.

62.

63.

64.65.

66.67.

68.

69.70.71.

72.

Death rates per 100,000 females 35-44 years of age for Motor vehicIe accidents, by month: United States,1982–89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 35–44 years of age for Motor vehicle accidents, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 45–54 years of age for Motor vehicle accidents, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 45–54 years of age for Motor vehicle accidents, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOOmales 55-64years ofagefor Malignant neoplasms ofgenital organs, bymonth: UnitedStates, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOOmales 65–74years ofage for Malignant neoplasms ofgenital organs, bymonth: UnitedStates, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO females 55-64 years of age for Pneumonia and influenza, by month: United States,1982–89 . . . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55–64 years of age for Pneumonia and influenza, by month: United States,19S’2-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO femaIes65–74 years of age for Pneumonia and influenza, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 65-74 years of age for Pneumonia and influenza, by month: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 55–64 yearsof age for Malignant neoplasms ofgenitaI organs, by month:United States, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 65–74years of age for Malignant neoplasms of genital organs, by month:United States, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 females 55–64 years of age for Diabetes mellitus, by month: United States,1982–89 . . . . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 55-64 years of age for Diabetes mellitus, by month: United States, 1982-89 . . .Death rates per 100,000 females 65–74 years of age for Diabetes meIIitus, by month: United States,1982–89 . . . . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOO males 65-74 years ofagefor Diabetes meIlitus, bymonth: United States, 1982-89 . . .Death rates perlOO,OOOfemales 25–34 years ofage for Accidents and adverse effects, bymonth: United States,1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates perlOO,OOOmales 25–34 years of age for Accidents and adverse effects, bymonth: United States,1982–89 -. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 femaIes 25-34 years of age for Suicide, by month: United States, 1982-89 . . . . . . . . . .Death rates per 100,000 males 25-34 years of age for Suicide, by month: United States, 1982-89 . . . . . . . . . . . .Death rates per 100,000 females 25-34 years of age for Homicide and Iegal intervention, by month:United States, 1982-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Death rates per 100,000 males 25–34 years of age for Homicide and Iegal intervention, by month:United States, 19S2-89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

31

31

32

32

33

33

34

34

35

35

36

36

3737

3838

39

394040

41

41

Symbols

.-. Data not available

. . . Category not applicable

— Quantity zero

0.0 Quantity more than zero but lessthan 0.05

* Figure does not meet standard ofreliability or precision (100 or fewerestimated deaths; relative standarderror of 30 percent or more)

Mortality SurveillanceSystem: Models From theFirst Yearby Frances M. Chevarley, Ph. D., A, ElizabethGodfrey, M.S., Harry M. Rosenberg, Ph. D.,Kenneth D. Kochanek, M.A,, Division of VitalStatistics, Manning Feinleib, M. D., Dr. P,H., NationalCenter for Health Statistics

IntroductionThis report presents the statistical charts and text

from the first year of the Mortality Surveillance System(MSS), as published in 12 issues of the Monthly UralStatistics Report (MVSR) (Vol. 3S, No. 2-VOI. 39, No. l),and briefly describes the methodology that was used. AISOpresented are the monthly data used in fitting the modelsdepicted in the published charts and the model statisticsfor the fitted curves.

According to the Dictionmy of Epidemiology edited byJohn Last (1) surveillance is “Ongoing scrutiny, generallyusing methods distinguished by their practicability, unifor-mity, and frequently their rapidity, rather than by com-plete accuracy. Its main purpose is to detect changes intrend or distribution in order to initiate investigative orcontrol measures.” Conceptually, then, the purpose of theMSS is to detect changes in trend or distribution in orderto initiate further investigative and control measures in apractical and timeIy manner.

The National Center for Health Statistics (NCHS) hasa data set that, because of its timeliness, can lend itself tosurveillance – the provisional mortality data from the Cur-rent Mortality Sample (CMS). These data are published

NOTE The authors gratefully uclmowlcdgc the assistance of RandyCurtin and Myron Katzoff of the Statistical Methods Staff, DavidJohnson of the Division of Vital Statistics, and the late Joel Kkinmwr ofthe Oflicc of Analysis and Epidemiology for their help in dcvclopirrg themodels, programs, and modeling criteria that were used in the MortalitySurvcil]ancc System. This report was edited by Dcmarius V. MiHcr andtypeset by Jacqueline M. Davis of the Publications Branch, Division ofData Scrviccs.

every month in the M_VW?,about 4 months after the mainmonth of occurrence of the deaths and continue to be oneof the most accessible means of identifying and monitoringhealth problems. NCHS decided to use the CMS as thedata source for the MSS and to appIy a traditional timeseries regression model to the observed monthly CMSdata as the methodology. This methodology had beenwidely and successfully used to describe trends in mortal-ity data and for surveillance including Serfling (2), ColIins(3), Choi and Thacker (4), Lui and Kendal (5), andShumway (6). In the United States other surveillancesystems have been applied to mortality, the best known ofwhich is the statistical system of the Centers for DiseaseControl and Prevention for tracking influenza and pneu-monia and all causes of death by age and month (7). InGreat Britain a surveillance system uses finaI rather thanprovisional mortality data (8). The MSS was inauguratedwith the February 19S9 issue of the M_KSR (Vol. 38,No. 2).

The MSS consists of a series of charts and textpublished each month in the MVSR, depicting trends inprovisional mortality data for seIected causes of death andpopulation groups. Emphasis is given to graphic presenta-tion that permits timely identification of departures frommortality trends observed in the recent past. Shown in theMSS charts are observed data with corresponding pre-dicted vaIues and 95-percent prediction intervals. Similargraphic presentation techniques have been widely used inthe past (9).

Topics for the first year of the MSS were selected inconsultation with other Public Health Service agencies toshed light on emerging health concerns and foresee possi-ble changes in trend.

1

Topics for the first year of the Mortality Surveillance System: MVSR issues, Vol. 38, No. 2-VOI. 39, No. 1

Vd 38, No. 2 February 1989

All causes Males aged 45–54 yearsFemales aged 45-54 yearsMales aged 55–64 yearsFemales aged 55-64 yearsMales aged 65-74 yearsFemales aged 65-74 years

VO/. 38, No. 8 August 1989

Diseases of heart Males aged 45–54 yearsFemales aged 45-54 yearsMales aged 55-64 yearsFemales aged 55–64 yearsMales aged 65–74 yearsFemales aged 65-74 years

!/0/, 38, NO 3 March 1989 ‘/0/, 38, No. 9 September 1989

Mal!gnant neoplasms of Males aged 35-44 yearsrespiratory and intrathoracic Females aged 35–44 yearsorgans Males aged 45-54 years

Females aged 45-54 yearsMales aged 55-64 yearsFemales aged 55–64 years

Cerebrovascular diseases Males aged 55–64 yearsFemales aged 55–64 yearsMales aged 65–74 yearsFemales aged 65–74 years

Septicemia Males aged 75-84 yearsFemales aged 75–84 years

b’o/, 38, No, 4 Aprd 7989

Chronic obstructive pulmonary Males aged 45-54 yearsdiseases and allied condlt(ons Females aged 45–54 years

Males aged 55-64 yearsFemales aged 55–64 yearsMales aged 65-74 yearsFemales aged 65–74 years

Vol. 38, No. 10 October 1989

Motor vehicle accidents Males aged 25–34 yearsFemales aged 25-34 yearsMales aged 35-44 yearsFemales aged 35-44 yearsMales aged 45-54 yearsFemales aged 45-54 years

VO/, 38, No. 5 May 1989 Voi, 38, A!o. f 1 November 1989

Accidents and adverse effects Males aged 15-24 yearsFemales aged 15–24 years

Homicide and legal Males aged 15-24 yearsintervention Females aged 15-24 years

Suicide Males aged 15-24 yearsFemales aged 15-24 years

Vol. 38, No. 6 June 1989

Malignant neoplasms of Males aged 55-64 yearsgenital organs Males aged 65–74 years

Pneumonia and influenza Males aged 55–64 yearsFemales aged 55–64 yearsMales aged 65-74 yearsFemales aged 65–74 years

VO/,38, No. 72 December 1989

Accidents and adverse effects Males aged 55-64 yearsFemales aged 55–64 years

Chronic liver disease and Males aged 55-64 yearsclrrhosts Females aged 55–64 years

Suicide Males aged 55-64 yearsFemales aged 55–64 years

Vet. 38, No. 7 Ju/y 1989

Malignant neoplasms of Females aged 55-64 yearsgenital organs Females aged 65–74 years

Diabetes mellitus Males aged 55-64 yearsFemales aged 55–64 yearsMales aged 65-74 yearsFemales aged 65–74 years

Vol. 39, No. 7 January 1990

Malignant neoplasms of Males aged 55-64 yearsd(gestwe organs and Females aged 55–64 yearsperitoneum Males aged 65-74 years

Females aged 65-74 yearsMalignant neoplasm of breast Females aged 55–64 years

Females aged 65-74 years

Accidents and adverse effects Males aged 25-34 yearsFemales aged 25-34 years

Suicide Ma[es aged 25–34 yearsFemales aged 25–34 years

Homicide and legal Males aged 25-34 yearsintervention Females aged 25-34 years

2

Sources of data

The MSS charts are based entirely on monthly provi-sional data from the Current Mortality Sample (CMS).The CMS is a national 10-percent systematic sample ofdeath certificates drawn each month after the certificatesare counted in the State registration offices. The samplefor each of these areas consists of one-tenth of the deathcertificates received in the of%ce between a given date andthe corresponding date of the following month. AH deathcertificates received during the l-month period are sam-pled regardless of the month or year in which the deathoccurred. As a result, the sample for a given month is notstrictly comparable to a sample based on month-of-occurrence. About two-thirds of the death certificates fora given month are for deaths that actually occurred in thesample month. Because complete information concerningthe underlying cause of death is sometimes not availablein the State offices when the sample is drawn but isavailable later when copies of the final death certificatesare processed, cause-of-death estimates from the CMS forcertain causes are biased estimates of final data. Thesevariations inherent in provisional data from the CMS arenot corrected in the MSS. Estimates of deaths and deathrates based on the CMS by age, race, sex, and cause areproportionately adjusted to be consistent with estimatesbased on provisional monthly U.S. totals based on countsof death certificates received in State registration offices(10,11).

Statistical model

While different types of models were analyzed todetermine the type of model to use for the MSS, a timeseries regression model was selected because similar mod-els had been used successfully in the past for surveillanceand because such a model is easy to use and interpret. ThefolIowing time series regression model with five terms isused:

Y(t) =xl~ +A ,t +A2t~ +C Cos (2Tr/12)+ S sin (21Tt/12) + .s,

where

Y(t) = monthly death rate at timert = month number (t = O for Jan. 1979)

A ~ = coefficient, which, together with C determinesthe Y-intercept

A, = coefficient of r

Az = coefficient of t2

C,S = coefficients of the harmonic terms

Et = error terms, assumed to be independent andnormally distributed with means O and con-stant variances,

and cos (2mt/12) and sin (2-rrt/12) are 12-month period har-monic functions.

The generaI form of the statistical model with fiveterms, as shown, contains an intercept term, a trend termt,a quadratic term t2,a cosine term, and a sine term (the2 latter terms are 12-month harmonic terms designed tocapture the main characteristics of seasonal patterns ofmortality). Monthly death rates for most causes of deathexhibit a 12-month seasonal pattern with generally higherrates in the winter when health can be compromised bycold weather.

The coefficients of the modeI for the 72 charts wereestimated using provisional monthly death rates for Janu-ary 1979–December 1987. The graph of the estimatedequations and 95-percent prediction intervals for themonthly rates were shown through 19S7 and projectedbeyond that. This projection period increased as moredata became available and as a result varied from monthto month. The symbols in each chart represent actualmonthIy death rates based on the CIVIS.

Using the model for 72 different charts in the first yearof the MSS has been both an exploratory and a learningprocess. Over time, and with increasing experience withthe models, the criteria to decide which of the five termsto keep in the model became more consistent. By the endof the year, the principle that guided model selection wasto include all five terms except in extreme cases. Thesecases include the foIIowing: (a) where there was no clear12-month seasonal component in the data, the model wasfitted without the harmonic terms; and (b) where the usualmodel yieIded negative prediction intervals, the data weretransformed by the naturaI logarithm before fitting themodel. In the latter case, for graphical purposes, the datawere transformed back to rates by the inverse of thenatural logarithm.

3

Summary

During the first year of the MSS, only three age-sex-cause groups were identified out of the total of 72 chartswhere there may have been a change in trend in the mostrecent time period since 1987: Cerebrovascular diseasesfor males aged 65–74 years, Septicemia for females aged75-84 years, and Diabetes mellitus for females aged 65-74years. Based on the MSS findings, a further investigationof the recent trends for these age-sex-cause groups may bewarranted. For the remaining charts there was not enoughevidence to suggest a change in trend.

The 72 charts and accompanying text that were pub-lished in the 12 successive WSR issues are shown infigures 1-72. Shown in tables 1-12 are provisional monthlyestimates of numbers of deaths and death rates for1979–89 for each of the specified causes of death andselected demographic groups for the 72 charts. Estimateddeaths and death rates in tables 1-12 based on 100 orfewer estimated deaths have relative standard errors of30 percent or more and are, therefore, considered unreli-able. Rates based on 100 or fewer estimated deaths areindicated by an “*” in these tables. The model parameterestimates and selected statistics for each of these 72 chartsare given in table 13.

Example

The following example illustrates the type of datasummarized in this report. For the first month of the MSSthere were six charts representing All causes of death forfemales and males for the following three age groups:45–54 years, 55–64 years, and 65–74 years. The charts andtext as previously published for these six charts are shownin figures 1–6. The center line in each of these chartsdenotes the predicted model based on provisional monthlydeath rates for the period January 1979–December 1987,and then projected for the most recent period for thesecharts through September 1988. The two outside lines arethe 95-percent prediction intervals; the symbols representthe observed monthly provisional death rates. As shown inthese charts and as discussed in the text, monthly provi-sional death rates for All causes decreased during theperiod 1979-87 for males in each of the three age groups.For females the trend in the monthly provisional deathrates for All causes during this same period was alsodownward but only for women in the youngest age group,

45-54 years; for women in the other two age groups, 55-64years and 65–74 years, there was no discernible upward ordownward trend during this period, Except for 1 month inone of these charts, the observed monthly rates in theprojected first 9 months of 1988 for these six charts werewithin the 95-percent prediction intervals of the modelsestimated on the basis of provisional monthly death ratesfor 1979–87. Also shown in these charts, death rates forAll causes for males and females in each of these threeage groups showed a seasonal pattern with provisionalmonthly death rates generally higher during the winter,

Shown in table 1 are the provisional monthly estimates ofdeaths and death rates for these six charts; that is, for Allcauses for 1979-89 for females and males aged 45–54, 55-64,and 65–74 years. These monthly rates were used in producingthe published charts and their associated model statistics intable 13. As shown in table 13, the average monthly samplesizes for the first six MSS charts ranged from 378 for All causesfor women aged 45-54 years to 2,315 for All causes for menaged 65–74 years. As indicated by the estimated coefficients ofthe model parameters and their corresponding probabilities intable 13, the first 6 MSS charts used the 4 variable model. Theadjusted R 2 values for these first six models for All causesranged from 0.4347 for women aged 45–54 years to 0.7377 formen aged 65–74 years, were higher for males than for females,and increased for each succeeding older age group (as theaverage monthly sampIe size increased) for both males andfemales.

Discussion

As indicated in the charts and also in the statistics intable 13, the 5-term model was a good general model formodeling mortality data for most age-sex-cause groups.The entire 5-term model was used for 50 of the 72 charts.For 19 of the 72 charts, the 2 harmonic terms weredropped because the monthly rates for these age-sex-cause groups did not exhibit 12-month seasonal patterns.Among these 19 charts, 16 represented specified cancersfor selected demographic groups, 2 were for Suicide forfemales aged 15–24 and 25–34 years, and 1 was forHomicide for females aged 25–34 years. The model in-cluded only the Y-intercept for 4 of the 72 charts wherethe 5-term model did not apply. These cases were Malig-nant neoplasms of genital organs for males aged 55–64years and 65–74 years, Malignant neoplasms of genital

4

organs for females aged 65–74 years, and Homicide andlegal intervention for females aged 25–34 years.

Although the objective was to apply the 5-term modelto the actual monthly death rates whenever possible, itwas necessary to transform the data by the natural loga-rithm for 7 of the 72 charts in order to avoid negativeprediction intervals for the model. The data were trans-ferred back by the inverse of the natural logarithm in thepubIished charts. As indicated in table 13, the statisticsfor these 7 charts are based on a model that used datatransformed by the natural logarithm.

Also shown in table 13, the adjusted R 2 statistic wasgenerally higher for those age-sex-cause groups with largersample sizes. The adjusted R 2 statistics were negative

(indicating a particularly poor fit of the chosen model) for2 of the 72 models of the first year: Suicide for femaIesaged 15–24 years and Malignant neoplasms of digestiveorgans and peritoneum for females aged 55–64 years.

Since the first year of the MSS, the MSS topics havebeen re-evaluated and expanded. Thus, for the secondyear, the topics were expanded to include the causeHuman immunodeficiency virus infection, infant mortaIityrates by age, and selected causes of infant death. For thethird year, added to the topics were age-sex-cause groupsfor the raciaI groups white and black. Although the sameMSS model has been selected for the second and thirdyears of the MSS, alternative modeIs and modeling criteriamerit study.

5

Mortality SurveillanceSystem

900 900

800 - - 800

700 - - 700

600 - - 600

500 -* - 500

*

4D0 - - 400

300 - - 300

1981 1982 1983 1984 1985 1986 1987 1988

Figure 1. Death rates per 100,000females 45-54 years of age by month: United States,1981-88

900

800

700

600

500

400

300

For the period shown in the chartthrough 1987, there has been a slightde@ine in provisional death rates forfemales aged 45–54 years for All causesof death combined. The observed ratesfor the first 9 months of 1988 wereconsistent with the rates predicted by amodel estimated on the basis of provi-sional monthly death rates from 1979 to1987. Death rates for these womenshowed a seasonal pattern of mortalitywith a tendency for rates to be higherduring the winter months. Based onprovisional annual death rates for 1987,the rate for females in this age groupwas slightly more than half the rate formales.

900 There was a general decline in pro-

&. visional death rates for men aged 45–54*v*** * *

~/ “---800 years for the period shown in;he chart.

* For these men, death rates from Janu-* * * * ary to September of 1988 fell within the

~* ‘:

prediction intervals of a model esti-mated on the basis of provisionalmonthly death rates from 1979 to 1987.

tern with a tendency toward higher

1981 1982 1983 1984 1985 1986 1987 1988200 death rates during the winter months.

According to provisional annual death

‘1500 However, the rates for February to

September of 1988 were consistently400 above the line predicted by the model.

Monthly death rates for males in this300 age group also showed a seasonal pat-

Figure 2. Death rates per 100,000males 45-54 years of age by month: United States,rates, the rate in 1987 for males aged

1981-88 45–54 years was not quite twice the ratefor women in this age group.

2,1D0

1,900

1,700

1,500

1,300

1,100

900

700

**

1981 1982 1983 1984 1985 1986 1987 1988

2,100

1,900

1,700

1,500

1,300

1,100

900

700

Figure 3. Death rates per 100,000females 55-64 years of age by month: United States,1981-88

2,100]* 12,100

1“m1,900 * **

***1,700

1,500

1,300

1,100

900

I

II I I ‘11,300

1981 1982 1983 1984 1985700

1986 1987 1988

There was no overall trend upwardor downward in death rates for Allcauses for females 55–64 years of ageduring the period shown in the chartthrough 1987. Rates for the first9 months of 1988 were consistent withthose predicted by a model estimatedon the basis of provisional monthlydeath rates from 1979 to 1987. Thedeath rates for these women were gen-erally higher in the winter months com-pared with the summer months.According to provisional annual deathrates for 1987, the rate for femalesaged 55–64 years was slightly morethan half the rate for males in the sameage group but about two and a halftimes the rate for females in theyounger age group 45–54 years.

The overall trend of death rates formales aged 55–64 years for All causescombined was downward during the pe-riod shown in the chart. Rates forJanua~–September 1988 were consis-tent with those predicted by a modelestimated on the basis of provisionalmonthly death rates from 1979 to 1987.Death rates for men aged 5544 years

11,100 alsoshowed a seasonal pattern of mor-tality. In 1987 the provisional annual

900 death rate for males was not quite twicethe rate for females in the same age

group and about two and a half timesthe rate for males in the younger agegroup 45–54.years.

Figure 4. Death ratas per 100,000males 55-84 years of age by month: United States,1981-88

7

““””~’’ooo4,400

3,800

I 14,400

3,800

3,200

t 1

3,200

2,600

1~

*

1

2,600* * *

2,000 * * 2,000*

1,400 1,4001981 1982 1983 1984 1985 1986 1987 1988

Figure 5. Death rates per 100,000 females 65-74 years of age by month: United States,1981-68

4,400 4,400

3,800 3,800

3,200 3,200

2,600 2,600

2,000 2,000

1,400 1,4001981 1982 1983 1984 1985 1986 1987 198B

During the period shown in thechart, there was no overall trend up-ward or downward in death rates forAll causes for females aged 65–74years. Monthly death rates for January–September 1988 were consistent withthose predicted by a model estimatedon the basis of provisional monthlydeath rates from 1979 to 1987. Deathrates for these women aged 65–74 yearsshowed a seasonal pattern with a ten-dency toward higher rates in the winterand lower rates in the summer. Theannual death rate for 1987 was slightlymore than half the rate for males in thesame age group and more than twicethe rate for females in the younger agegroup 55–64 years.

For males aged 65–74 years, the

overall trend in death rates for Allcauses was downward during the periodshown in the chart. The monthly deathrates for the first nine months of 1988fell within the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87.The rates for March to September1988, however, were consistently abovethe line predicted by the model. Asshown in the chart, men in the agegroup 65–74 had a seasonal pattern ofmortality with a clear tendency for ratesto be higher during the winter months.

Figure 6. Death rates per 100,000 males 66-74 years of age by month: United States,In 1987- the prov~ional annual death

1981-88 rate for men aged 65–74 years was notquite twice the rate for women in thesame age group. This ratio of male tofemale death rates for this age groupwas about the same as that observed for

the age groups 45–54 years and 55-64years.

8

20

15

10

5

0

*F *

***

*

*** ******

*** ** * *

** ***** ***

* * * .7* **

***

*. * *.

** ** **** **

* -*

*

*

* * ** *

** *

* *

. * ***

*

1981 1982 1983 1984 1985 1986 1987 1988

20

15

10

5

0

Figure 7. Death rates per 100,000females 36-44 years of age for Malignant neoplasms ofrespiratory and intrathoracic organs, by month: United States, 1981-88

20

15

10

I * IF

F “’’--””:””******* ** * ** ********& * * ** **

* ** *** % ** * ** **

**

** * * ** ***** ** *5 * * *

* Io

1981 1982 1983 1984 1985 1986 1987 1988

Figure 8. Death rates per 100,000males 36-44 years of age for Malignant neopiasms ofrespiratory and intrathoracic organs, by month: United States, 1981-88

15

10

5

0

For the period shown in the chartthrough 1987, there has been a slightdownward trend in provisional deathrates for females 35-44 years of age forMalignant neoplasms of respiratoryand intrathoracic organs. The observedrates for the first 9 months of 1988were consistent with the rates predictedby a model estimated on the basis ofprovisional monthly death rates from1979–87. Based on provisional annualdeath rates for 1987, the rate for fe-maIes in this age group was slightlymore than half the rate for males.

There was a decline in provisionaldeath rates for Malignant neoplasms ofrespiratory and intrathoracic organs formen 3544 years of age for the periodshown in the chart through 1987. Forthese men, death rates from January–September of 1988 were consistentwith a model estimated on the basis ofprovisional monthly death rates from1979–87. According to provisional an-nual death rates, the rate in 1987 formen 3544 years of age was nearlytwice the rate for women in this agegroup.

9

‘oo~ ’0080

t i80

460

I*”**‘“”:’‘“’”*

40 *** ***%k* * * * ** ‘4* **** * “*** **. *

*1

40

* * **’ * * ** * * *“*’ ***** *

%**% * ** * ** * $+* *

20 20

0 I ,wukdudw,,lk&AwluuM o1981 1982 1983 1984 1985 1986 1987 1988

Figure 9. Death rates per 100,000femaies 45-54 years of age for Malignant neoplasms ofrespiratory and intrathoracic organs, by month: United States, 1981-88

There has been a slight upwardtrend in death rates for Malignant neo-plasms of respiratory and intrathoracicorgans for females 45–54 years of ageduring the period shown in the chartthrough 1987. The monthly death ratesfor the first 9 months of 1988 fell withinthe prediction intervals of a model esti-mated on the basis of provisionalmonthly death rates from 1979–87.However, the rates for all but one ofthe first 9 months were below the linepredicted by the model. Acmrding toprovisional annual death rates for 1987,the rate for females 45–54 years of agewas slightly more than half the rate formales in the same age group and morethan 6 times the rate for females in theyounger age group 3544 years.

100 . * 100 The trend of death rates for males** * 45–54 years of age for Malignant neo-

* ****** *

80 **plasms of respiratory and intrathoracic

80** * * **

organs was downward during the pe-

*** * riod shown in the chart. For these men,

60●

* * 60except for 1 month, death rates fromJanuary-September of 1988 all fellwithin the prediction intervals of a

40 40 model estimated on the basis of provi-sional monthly death rates from1979–87; however, all but one of the

20 20 monthly rates during this period wereabove the line predicted by the model.

oIn 1987 the provisional annual death

1981 19820

1983 1984 1985 1986 1987 1988 rate for these males was almost twicethe rate for females in the same age

Figure 10. Death rates per 100,000males 45-54 years of age for Malignant neoplasms of group and more than 6 times the raterespiratory and intrathoracic organs, by month: United States, 1981-88 for males in the younger age group

35–44 years.

10

280

240

200

160

120

80

40

280 The trend of death rates for fe-males 55–64 years of age for Malignant

240 neoplasms of respiratory and intratho-racic organs was upward for the periodshown in the chart through 1987.

- 200 Monthly death rates for Janua~–Sep-tember 1988 were consistent with those

160 predicted by a model estimated on thebasis of provisional monthly death rates

120

*80

*

401981 1982 1983 1984 1985 1986 1987 1986

Figure 11. Death rates per 100,000females 55-64 years of age for Malignant neoplasms ofrespiratory and intrathoracic organs, by month: United States, 1981-88

280

240

200

160

120

80

40

* *+

*

*****

1981 1982 1983 1984 1985 1986 1987 1988

Figure 12. Death rates per 100,000males 55-84 years of age for Malignant neoplasms ofrespiratory and intrathoracic organs, by month: United States, 1981-88

280

240

200

160

120

80

40

from 1979-87. The annual death ratefor 1987 was less than half the rate formales in the same age group; this ratioof female to male death rates for thisage group, however, has been increas-ing. The 1987 provisional death rate forfemales 55–64 years of age was 3 timesthe rate for females in the younger agegroup 45–54 years.

For males 55-64 years of age, therewas no discernible trend upward ordownward in death rates for Malignantneoplasms of respiratory and intratho-racic organs during the period shown inthe chart. The monthly death rates forthe first 9 months of 1988 were consis-tent with those predicted from a modelestimated on the basis of provisionalmonthly death rates for 1979–87. In1987 the provisional annual death ratefor men 55–64 years of age was morethan twice the rate for women in thesame age group. This ratio of male tofemale death rates for this age groupwas higher than that observed for theage groups 35J14 years and 45–54years.

11

30

25

20

15

10

5

0

.*

25

20

15

10

5

*

o1981 1982 1983 1984 1985 1986 1987 1988

Figure 13. Death rates per 100,000 females 45-54 years of age for Chronic obstructivepulmonary diseasas and allied conditions, by month: United States, 1981-88

[Data transformed by the natural logarithm before fitting model]

30

26

20

15

10

5

0

For the period shown in the chartthrough 1987, there has been a slightupward trend in provisional death ratesfor females 45–54 years of age forChronic obstructive pulmonaq dis-eases and allied conditions. The ob-served rates for the first 9 months of1988 were consistent with the rates pre-dicted by a model estimated on thebasis of provisional monthly death ratesfrom 1979–87. Death rates for thesewomen showed a seasonal pattern ofmortality with a tendency for rates to behigher during the early months of theyear. Based on provisional annual deathrates for 1987, the rate for females inthis age group was about the same asthe rate for males.

30 There was a slight decline in provi-sional death rates for Chronic obstruc-

- 25 tive pulmonary diseases and alliedconditions for men 45–54 years of agefor the period shown in the chart

* * ** 20 through 1987. For these men, monthly

* * death rates from January-8 eptember of_* 15 1988 were consistent with a model esti-

* mated on the basis of provisional,0 monthly death rates from 1979–87. At-

********+* cording to provisional annual deathrates, the rate in 1979 for males 45–54

* * 5 years of age was about 1.5 times therate for women in this age group. Be-

0 cause the death rates for this age group1981 1982 1983 1984 1985 1986 1987 1988 for Chronic obstructive pulmonary dis-

Figure 14. Death rates per 100,000 males 45-54 years of age for Chronic obstructiveeases and allied conditions have de-

pulmonary diseases and allied conditions, by month: United States, 1981-88 creased slightly for males and increased

[Data transformed by the natural logarithm before fitting model]slightly for females from 1979–87, thedeath rates for males and females werecloser in 1987 than they were in 1979.

12

80

1~ /

80

60 **

60

* ****

*●

40 * ** ● * 40

* ** ●

*

zo iti~ zoo 0

1981 1982 1983 1984 1985 t986 1987 1988

Figure 15. Death rates per 100,000females 55-64 years of age for Chronic obstructivepulmonary diseasesand allied conditions, by month: United States, 1981-68

100

80

60

40

20

0

*

1981 1982 1983 1984 1985 1986 1987 1988

Figure 16. Death rates per 100,000males 56-64 years of age for Chronic obstructivepulmonary diseasesand allied conditions, by month: United States, 1981-68

100

80

60

40

20

D

There has been an upward trend indeath rates for Chronic obstructive pul-monary diseases and allied conditionsfor females 55-64 years of ?ge duringthe period shown in the chart through1987. The monthly death rates for thefirst 9 months of 1988 were consistentwith the rates predieted by a modelestimated on the basis of provisionalmonthly death rates from 1979-87.Death rates for these women aged55–64 years showed a seasonal patternwith a tendeney toward higher rates inthe early months of the year. Accordingto provisional annual death rates for1987, the rate for females 55-64 yearsof age was about two thirds the rate formales in the same age group and al-most 5 times the rate for females in theyounger age group 45-54 years.

There has been no diseemabletrend upward or downward in provi-sional death rates for males 55-64years of age for Chronic obstructivepulmonary diseases and allied condi-tions for the period shown in the chartthrough 1987. For these men, exceptfor one month, the monthly death ratesfrom January-September 1988 fellwithin the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates from1979-87; however, the monthly deathrates for the first 9 months of 1988were all above the line predicted by themodeL As shown in the chart, men inthe age group 55–64 years had a sea-sonrd pattern of mortality similar tothat shown for females in this agegroup. In 1987 the provisional annualdeath rate for these males was about1.5 times the rate for females in thesame age group. This ratio decreasedfrom 1979; in 1979 the rate for maleswas over twice the rate for females inthis age group.

13

“’”~’””240

180

1 1240

180

1~* * *

120 *** *

1

120

** @****

** **

* * *** * % *

60 * * * +*

* 60

01981 1982

01983 1984 1985 1986 1987 1988

Figure 17. Death rates per 100,000females 66-74 years of age for Chronic obstructive ‘pulmonary diseasesand allied conditions, by month: United States, 1981-68

300

240

180

120

60

0

. *

*

1981 1982 1983 1984 1985 1986 1987 1988

Figure 18. Death rates per 100,000males 65-74 years of age for Chronic obstructivepulmonary diseasesand allied conditions, by month: United States, 1981-88

)00

240

180

120

60

0

1

The overall trend of death rates forfemales 65–74 years of age for Chronicobstructive pulmonary diseases and al-lied conditions was upward for the pe-riod shown in the chart through 1987.Monthly death rates for January-8 ep-tember 1988 were consistent with thosepredicted by a model estimated on thebasis of provisional monthly death ratesfrom 1979–87. The death rates forthese women were also generally higherin the early months of the year. Theannual death rate for females in 1987was about half the rate for males in thesame age group; this ratio of female tomale death rates for this age group,however, has been increasing. The 1987provisional death rate for females65–74 years of age was 2.7 times therate for females in the age group 55–64years.

For males 65–74 years of age, therewas no discernible trend upward ordownward in death rates for Chronicobstructive pulmonary diseases and al-lied conditions during the period shownin the chart. The monthly death ratesfor the first 9 months of 1988 were allwithin the prediction intervals of amodel estimated on the basis of provi-sional monthly death rat es for 1979–87;however, these monthly rates for 1988were all above the line predicted by thismodel. Death rates for men 65–74years of age also showed a seasonalpattern of mortality. In 1987 the provi-sional annual death rate for men 65–74years of age was almost twice the ratefor women in the same age group. Thisratio of male to female death rates forthis age group was higher than thatobserved for the age groups 45–54years and 55–64 years.

14

“o~ “o120

t -1120

100

80

60

1 1100

80

60

40 4 - 40

20 - - 20

0 01982 1983 1984 1985 1986 1987 1988 1989

Figure 19. Death rates per 100,000 females 15-24 years of age for Accidents and adverseeffects, by month: United States, 1982-89

‘:~:1982 1983 1984 19s5 1986 1987 1988 1989

Figure 20. Death rates per 100,000 males 15-24 years of age for Accidents and adverseeffests, by month: United States, 1982-89

Accidents and adverse effects is theleading cause of death for females15–24 years of age. It accounted for45 percent of all deaths to females inthis age group in 1986, the latest yearfor which final data are available. Forthese women, provisional death ratesfrom Accidents and adverse effects de-ereased slightly from 1979 to the early1980’s and, as shown in the chart, haveincreased slightly since then. The ob-served rates for 1988 and the first2 months of 1989 were consistent withthe rates predicted by a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Deathrates for these women showed a sea-sonal pattern of mortality with a ten-dency for rates to be higher during thesummer. Based on provisional annualdeath rates for 1988, the death rate forthis cause for females was about onethird the rate for males.

Accidents and adverse effects isako the leading cause of death formales 15-24 years of age. In 1986 itaccounted for 52 percent of all deathsto men in this age group. For thesemen, provisional death rates for thiscause have declined from 1979 to themid-1980’s and have leveled off sincethen. Monthly death rates for January1988-February 1989 were consistentwith a model estimated on the basis ofprovisional monthly death rates for1979–87, The monthly rates for thiscause aIso showed a seasonal patternwith a tendency toward higher deathrates during the summer, According toprovisional annual death rates, the ratein 1988 for males 15–24 years of agewas almost 3 times the rate for womenin this age group.

15

35

30

25

20

15 1 !35

30

25

20

15

10 - - 100 0

01982 1983 1984 1985 1988 1987 1988 1989

Figure 21. Death rates per 100,000 females 15-24 years of age for Homicide and legalintervention, by month: United States, 1982-89


About 12 percent of all deaths tofemales 15–24 years of age were due toHomicide and legal intervention in1986, the latest year for which final dataare available; this was the second lead-ing cause of death in 1986. For thesewomen, there has been no discernibletrend upward or downward in the pro-visional death rates for Homicide andlegal intervention for the period shownin the chart through 1987. The monthlydeath rates for 1988 and for the first2 months of 1989 were consistent withthe rates predicted by a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Ac-cording to provisional annual deathrates for 1988, the death rate for Homi-cide and legal intervention for females15–24 years of age was about onefourth the rate for males in the sameage group.

40 40 According to 1986 final data, Ho-micide and legal intervention was the

35 - - 35 second leading cause of death among

30 - - 30males 15–24 years of age. In that year itaccounted for approximately 15 percent

25 -060 - 25 of all deaths for these males. Deathrates for males 15–24 years of age for

- 2Q Homicide and legal intervention de-

15 -creased from 1979 to the mid-1980’s

- 15 and, as shown in the chart, have in-

10 - - 10 creased since then. For these men, themonthly death rates for January

5 “ - 5 1988-February 1989 were consistentwith the rates predicted by a model

o ~ “’’’’’’’” “’’’” ~ “’’’” “’” - 01982 1983 1984 1985 1986 1987 1988 1989

estimated on the basis of provisionalmonthly death rates for 1979–87. As

Figure 22. Death rates per 100,000 males 15-24 years of age for Homicide and legal shown ‘in the chart, men in the ageintervention, by month: United States, 1982-89 group 15–24 years had a seascmal pat-

tern of mortality for this cause with atendency for rates to be higher duringthe summer. In 1988 the provisionalannual death rate for this cause forthese males was about 4 times the ratefor females in the same age group.

16

30t 1

30

25 “ - 25

20 - - 20

15 - - 15

10 - - 10

- 50 % o

0 -

1982 1983 1984 1985 1986 1987 1988 1989

Figure 23. Death rates per 100,000females 15-24 years of age for Suicide, by month:United States, 1982-89


35 I f 35

30

25

20

15

10 1

5 - - 5

0 - - 0

O*o

00 I

30

25

20

15

10

1982 1983 1984 1985 1986 1987 1988 1989

Figure 24. Death rates per 100,000males 15-24 years of age for Suicide, by month: UnitedStates, 1982-89

According to final data for 1986,Suicide was the third leading cause ofdeath for females 15–24 years of age. Inthat year Suicide accounted for approx-imately 8 percent of all deaths for thesefemale$ in comparison, Homicide andlegal intervention accounted for ap-proximately 12 percent of the 1986deaths in this age-sex group. For fe-males 15–24 years of age, there hasbeen no discernible trend upward ordownward in the provisional deathrates for Suicide “during the periodshown in the chart. The monthly deathrates for 1988 and the first 2 months of1989 were all within the prediction in-tervals of a model estimated on thebasis of provisional monthly death ratesfor 1979–87. The annual provisionaldeath rate for Suicide for females in1988 was about one fifth the rate formales in this age group.

Suicide was also the third leadingcause of death for males 15–24 years ofage aeeording to 1986 final data. About14 percent of all deaths for males 15-24years of age were due to Suicid~ thispercent for Suicide was similar to thecorresponding 15 percent for Homicideand legal intervention. For males 15-24years of age there was no discernibletrend in the Suicide death rate duringthe period shown in the chart. Themonthly death rates for 1988 and thefirst 2 months of 1989 were all withinthe prediction intervals of a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Al-though the fitted model suggests thatdeath rates for Suicide for males 15-24years of age have a smooth seasonalpattern with a single peak in the firstquarter of the year, the observed deathrates show a more irregular seasonalpattern. In 1988 the provisional annualdeath rate for this cause for men 15-24years of age was about five times therate for women in the same age group.

17

80

70

60

50

40 I I80

70

60

50

40

30

1~

o ~o 00 00* ~oo

!

300 000 00 0 ~co o

0 *O * 0°20 0.O 0 00 0

00 %o@” Ooo 00 -.O

200 0 000

00 010 10

0 01982 1983 1984 1985 1988 1987 1988 1989

Figure 25. Death rates per 100,000females 55-64 years of age for Accidents and adverseeffects,by month: United States, 1982-89

There were 2,380 deaths due toAccidents and adverse effects forwomen 55–64 years of age in 1986, thelatest year for which final data areavailable. These deaths accounted for2 percent of all deaths for these womenin 1986. Of the 2,380 deaths, 1,160, oralmost half, were due to Motor vehicleaccidents. For these women, provi-sional death rates from Accidents andadverse effects decreased slightly from1979 to the mid 1980’s and, as shown inthe chart, have increased slightly sincethen. The observed rates for 1988 andthe first 2 months of 1989 were consis-tent with the rates predicted by a modelestimated on the basis of provisionalmonthly death rates for 1979–87. Based

on provisional annual death rates for1988, the death rate for this cause forfemales was about one half the rate formales.

90 90 Accidents and adverse effects ac-

80 - 80 counted for 5,348 deaths, or 3 percentof all deaths for men 55–64 years of

70 -00 - 70 age, according to final data for 1986. Of

00co 0° 0 0 these 5,348 deaths, 2,197 (41 percent)

60 - 60 were due to Motor vehicle accidents.

50 00 0 - ~ o For the period shown in the chart, pro-*O 0Oe O.O 0 visional death rates for Accidents and

40 - 40 adverse effects have declined. Monthlydeath rates for January 1988–February

-30 1989 were consistent with a model esti-30

20 - 20 mated on the basis of provisionalmonthly death rates for 1979–87. Ac-

10 - - 10 cording to provisional annual death

o -’” “’’’’’’’” ““ ~ ~ “’’’’f’” “’’w” “’’’’”k orates in 1988, the rate for males 55-64

1982 1983 1984 1985 1986 1987 1988 1989 years of age was about double the ratefor women in this age group.

Figure 26. Death rates per 100,000males 55-64 years of age for Accidents and adverseeffects,by month: United States, 1982-89

18

90 .90

80 - 80

70 - 70

60 - 60

50 - 50

40 - 40

30

10

01982 1983 1984 1985 1986 1987 1988 1989

Figure 27. Death rates per 100,000females 55-64 years of age for Chronic liver disease andcirrhosis, by month: United States, 1982-89

90

80

70

60

50

40

30

20

10

0

t -i80

I~i70

049

0°0 040Q o

Qo+ o+ 00 60

~ @o* o 0 0

00*0o 0 ~o io” 50

0 0 00000

000 Q @Q

00 0 00 400 00 0.$

000

300

- 20

- 10

IIllllw 111111111!lllllll [11 Illlwlf 111111~ 1[111111111 11111JJJy 111111

1982 1983 1984 1985~ o

1986 1987 1988 1989

In 1986, the latest year for whichfinal data are available, there were2,441 deaths due to Chronic liver dis-ease and cirrhosis for females 55–64

years of age. These deaths accountedfor 2 percent of all deaths to thesewomen in 1986. The overall trend ofdeath rates for Chronic liver diseaseand cirrhosis for these women wasslightly downward for the period shownin the chart through 1987. The monthlydeath rates for 1988 and for the first2 months of 1989 were consistent withthe rates predicted by a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Ac-cording to provisional annual deathrates for 1988, the death rate forChronic liver disease and cirrhosis forfemales 55-64 years of age was aboutone half the rate for males in the sameage group.

According to 1986 final data,Chronic liver disease and cirrhosis ac-counted for 4,722 deaths or 3 percentof all deaths for males 55–64 years ofage. For the period shown in the chartthrough 1987, there was a decline inprovisional death rates for Chronic liverdisease and cirrhosis for males 55-64years of age. The monthly death ratesfor January 1988–February 1989 forthese men fell within the predictionintervals of a model estimated on thebasis of provisional monthly death ratesfor 1979–87. In 1988 the provisionalannual death rate for these men wasabout 2 times the rate for women in thesame age group.

Figure 28. Death rates per 100,000males 55-64 years of age for Chronic liver disease andcirrhosis, by month: United States, 1982-89

19

50

40

30

20

10

0

0 0 00

0

#[11[111111111111llll@llllfllllllllllllllll!wlllldlll ll1ll1lllllw1982 1983 1984 1985 1986 1987 1988 1989

Figure 29. Death rates per 100,000females 55-64 years of age for Suicide, by month:United States, 1982-89


50

40

30

20

10

0

50

40

30

20

10

0

According to final data for 1986,there were 994 suicides for women55–64 years of age. In that year, Suicideaccounted for approximately 1 percentof all deaths to these women. For thesewomen, there has been no discernibletrend upward or downward in ihe pro-visional Suicide death rates during theperiod shown in the chart. The monthlydeath rates for 1988 and the first twomonths of 1989 were, with the excep-tion of 1 month, within the predictionintervals of a model estimated on thebasis of provisional monthly death ratesfor 1979-87.

50 For males 55–64 years of age, Sui-

0tide accounted for 2,788 deaths or2 percent of all deaths for these men in

o - 40 1986. During the period shown in thechart, there was a slight increase in the

o 00 0 0provisional death rates for Suicide for

o ‘o o 0 - 30 these men. The monthly death rates foro 1988 and the first 2 months of 1989

~o were all within the prediction intervals

& 00 - 20 of a model estimated on the basis ofo 0 0 provisional monthly death rates for

1979–87. In 1988 the provisional an-0 0 - 10 nual death rate for men 55–64 years of

age was 3.7 times the rate for women inthe same age group.

1982 1983 1984 1985 1986 1987 1988 1989

Figure 30. Death rates per 100,000males 55-84 years of age for Suicide, by month: UnitedStates, 1982-89

20

170 - - 170

160 – 160

150 – - 150

140 - - 140

130 - 130

120 – 120

110 - - 110

100 – “ 100+

90 – + + - 90+ ++ ++* +++++ + ~ * +

80 - ‘+ +#. ++ + +++++++ + -80+n‘+

+70 - + +. .++++

i. +++++’+ *

+* *+++”+ – 70*+ + #+++

60 - + ++ - 60

50 – + + - 50

40 -, 40

1982 1983 1984 1985 1986 1987 1988 1989

Figure 31.Death rates per 100,000females 55-64 years of age for Malignant neoplasms ofdigestive organs and peritoneum, by month: United States, 1982-89

There were 8,502 deaths due toMalignant neoplasms of digestive or-gans and peritoneum for women 55-64years of age in 1987, the latest year forwhich final data are available. Forwomen in this age group this was thethird most frequent cause of malignantneoplasm (cancer) deaths in 1987; itaccounted for 19 percent of this group’scancer deaths and 8 percent of deathsfrom all causes. For these women,there has been no discernible trendupward or downward in the provisionaldeath rates for Malignant neoplasms ofdigestive organs and peritoneum duringthe period shown in the chart. Theobserved rates for 1988 and the first2 months of 1989, with the exception of1 month, fell within the prediction in-tervals of a model estimated on thebasis of provisional monthly death ratesfor 1979-87. Based on provisional an-nual death rates for 1988, the deathrate for this cause for females 55-64years of age was about one half the ratefor males in the same age group.

170

160

150

140

130

120

110 [

+ ++ +

+ + +*+ ** ++

+ *++ ++++ +++*+ + ++ *+ +

++ ++ +*‘+ ++ +++

+ +*++++ ++ *

++ ++

++ +++ ++++ *

**+ + {

170

160

150

140

130

120

110

100

90

80

70

60

501

40

1– 100

- 90

- 80

- 70

- 60

- 50

40

1982 1983 1984 ‘t985 1986 1987 1988 1989

Figure 32.Death rates per 100,000males 55-64 years of age for Malignant neoplasms ofdigestive organs and peritoneum, by month: United States, 1982-S9

According to final data for 1987,Malignant neoplasms of digestive or-gans and peritoneum accounted for13,046 deaths, or 8 percent of all deathsto men 55-64 years of age. Amongthese men Malignant neoplasms of di-gestive organs and peritoneum was thesecond most frequent cause of cancerdeath in 1987. For the period shown inthe chart, provisional death rates forMalignant neoplasms of digestive or-gans and peritoneum have declinedslightly. Monthly death rates for Janu-ary 1988-February 1989, except for1 month, fell within the prediction in-tervals of a model estimated on thebasis of provisional monthly death ratesfor 1979-87. According to provisionalannual death rates in 1988, the rate formales 55-64 years of age was aboutdouble the rate for women in this agegroup.

21

320t i

320

300t 1

300

2801- -1

280

260t i

260

240t i

240

220t

+-1

220

200 -I. + - 200

‘+ + + +

180 –+ ++ + + - 180

160 –+ +*+’ +* ++ *

140 - 140

1982 1983 1984 1985 1986 1987 1988 1989

Figure 33. Death rates per 100,000 females 65-74 years of age for Malignant neoplasms ofdigestive organs and peritoneum, by month: United States, 1982-89

340 340

320

[4 ‘+< 1

320

300 + + “ 300+ + +

++280 “ + + . ~+ +++’

++*+ ++ ++++ 280

+ +*++++ ~++ * *++

260 ~++++”+++ 260+ -a. +4+

In 1987, the latest year for whichfinal data are available, there were15,584 deaths due to Malignant neo-plasms of digestive organs and perito-neum for women 65–74 years of age;this number is slightly more than thenumber of deaths for these women dueto Malignant neoplasms of respiratoryand intrathoracic organs (15,489). Forwomen 65–’74 years of age, cancer ofthe digestive organs and peritoneumwas the most frequent cause of cancerdeath in 1987; it accounted for 24 per-cent of cancer deaths for these women.The overall trend of provisional deathrates for cancer of the digestive organsand peritoneum for these women wasdownward for the period shown in thechart through 1987. The monthly deathrates for 1988 and for the first 2 monthsof 1989, except for 1 month, fell withinthe predicticm intervals of a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Ac-

cording to provisional annual deathrates for 1988, the death rate for Malig-nant neoplasms of digestive organs andperitoneum for females 65–74 years ofage was more than double the rate forfemales 55–64 years of age.

According to final data for 1987,Malignant neoplasms of digestive or-gans and peritoneum accounted for20,555 deaths, or 7 percent of all deathsfor males 65–74 years of age. For thesemen it was the second most frequentcause of cancer death in 1987. For theperiod shown in the chart through

240 ~ +++ +“ ++ ~ 240 1987, there was a decline in provisio~al

1++.++++ I

220

200

180

160

1401

120 11111~

1982 1983 1984 7985 1986 1987

+ -1220

u1988 1989

200

180

160

140

120

Figure 34. Death rates per 100,000males 65-74 years of age for Malignant neoplasms ofdigestive organs and peritoneum, by month: United States, 1982-89

death rates for Malignant ne~plasms ofdigestive organs and peritoneum formales 65–74 years of age. The monthlydeath rates for January 1988-February1989 were, with the exception of1 month, within the prediction intervalsof a model estimated on the basis ofprovisional monthly death rates for1979–87. In 1988 the provisional an-nual death rate for these men was 1.6times the rate for women in this same

age group.

22

““~””160

I 1

160

150 150

140 140

130 130

120 120

110 110

100 -_ + + – 100++ b

+ +90 - *+ ++ + +* + + ++ +*++ .’+ + + *+++ * – 90

++* +80 - t--+ + . 4

+ # + +++ ++ ++ ●+ *+ – 80

70 –+’+*“ + + *

+ + * - 70+

60 – - 60

50 – - 50

40

1982 1983 1984 1985 1986 1987 1988 1989

Figure 35. Death rates per 100,000females 56-64 years of age for Matignant neoplasm ofbreast, by month: United States, 1982-39

170 170

160 160

150 150

140 140

130 130

120 i 20

110 i 10

100 100

90 90

80 80

70 70

60 60

50 50

40 40

1982 1983 1984 1985 1986 1987 1988 1989

Figure 36. Death rates per 100,000females 66-74 years of age for Matignant neoplasm ofbreast, by month: United States, 1982-39

According to final data for 1987,there were 9,407 deaths due to Malig-nant neoplasm of breast for women55–64 years of age, or 9 percent ofdeaths for all causes for these women.For women in this age group, breastcancer was the second most frequentcause of cancer death in that year be-hind respiratory cancer. For the periodshown in the chart, there was an in-crease in the provisional death rateswith a leveling off of the rates for themost recent years. The monthly deathrates for 1988 and the first 2 months of1989 were consistent with a model esti-mated on the basis of provisionalmonthly death rates for 1979–87.

Malignant neoplasm of breast ac-counted for 10,664 deaths, or 5 percentof all deaths for females 65–74 years ofage in 1987. For these women, breastcancer was the third most frequentcause of cancer death in 1987 account-ing for 17 percent of all cancer deaths.During the period shown in the chart,there was an increase in the provisionaldeath rates for breast cancer for thesewomen with a leveling off of the rates inthe most recent years. The monthlydeath rates for 1988 and the first2 months of 1989 were, with the excep-tion of 1 month, within the predictionintervals of a model estimated on thebasis of provisional monthly death ratesfor 1979–87. In 1988 the provisionalannual death rate for women 65–74years was one third greater than therate for women in the 55–64 year agegroup.

23

1~100 ● +

j

100++* * + ●+ *+

+++. + + +++ +++ + ● ++++++*+ ++ ++

50 + 50

o~o1982 1983 1984 1985 1986 1987 1988 1989

Figure 37. Death rates perlOO,OOOfemales 4H4years ofagefor Diseasesofheati, bymonth: United States, 1982-89

400

I 1

400

350 350

200

150

100

50

1

1300

250

200

150

- 100

- 50

0 - 01~ I1982 1983 1984 1985 1986 1987 1988 1989

Figure 38. Death rates perlOO,OOOmales 4H4years ofagefor Diseasesofheati, bymonth: United States, 1982-89

Diseases of heart was the secondmost frequent cause of death forwomen 45–54yearsofagein 1987, thelatest year for which final data areavailable. It accounted for 8,413 deaths,or 20 percent of all deaths for womenin this age group. For the period shownin the chart through 1987, there hasbeen a downward trend in provisionaldeath rates for these women. The ob-served rates for 1988 and the first2 months of 1989 fell within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979–87. Death rates for thesewomen showed a seasonal pattern ofmortality with a tendency for rates to behigher during the winter. Based on1988 provisional annual death rates, thedeath rate for women in this age groupwas about one-third the rate for men.

According to final data for 1987,Diseases of heart was the most fre-quent cause of death for males 45-54years of age. In that year the 24,295deaths due to this cause for these menrepresented 33 percent of deaths fromall causes for this group. For the periodshown in the chart through 1987, provi-sional death rates for Diseases of hearthave declined for males 45–54 years ofage. The monthly death rates for Janu-ary 1988-February 1989 fell within theprediction intervals of a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Themonthly death rates for these men alsoshowed a seasonal pattern with a ten-dency for rates to be higher in thewinter. According to provisional annualdeath rates for 1988, the rate for males45–54 years of age was about 3 timesthe rate for women in this age group.

24

900 - - 900

800 - - 800

700 - - 700

600 - - 600

500 - - 500

400 - - 400

300 - - 300

200 - - 200

1982 1983 1984 1985 1986 1987 1988 1989

Figure 39. Death rates per 100,000females 55-84 years of age for Diseases of heart, bymonth: United States, 1982-89

900t 1

900

800

700

600

500

400

300

200

[

+

1

- 200

100

1982 1983 1984 1985 1986 1987 1988 1989

Figure 40. Death rates per 100,000males 55-64 years of age for Diseasesof heart, bymonth: United States, 1982-89

1800

700

600

500

1400

300

According to final data for 1987,Diseases ofheart accounted for 27,967deaths or27 percent ofaIl deaths forwomen 55-64 years of age. It was thesecond most frequent cause of death(behind cancer) for these women. Theoverall trend in provisional death ratesfor Diseases of heart for these womenwas downward for the period shown inthe chart through 1987. The monthlydeath rates for January 1988-February1989 fell within the prediction intervalsof a model estimated on the basis ofprovisional monthly death rates for1979-87. As shown in the chart, womenin the age group 55–64 years had aseasonal pattern of mortality for thiscause with a tendency for rates to behigher during the winter. In 1988 theprovisional annual death rate for thiscause for this age-sex group was about4 times the rate for women 45–54 yearsof age, and less than half the rate formen 55–64 years of age.

Diseases of heart was the most fre-quent cause of death for males 55–64years of age. It accounted for 62,050deaths or 37 percent of all deaths formales 55–64 years of age in 1987, thelatest year final data are available. Forthe period shown in the chart through1987, there was a decline in provisionaldeath rates for Diseases of heart formales 55–64 years of age. The monthlydeath rates for January 1988-February1989, with the exception of 1 month,fell within the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87.The monthly rates for this cause andage-sex group also showed a seasonalpattern of mortality with a tendencytoward higher rates during the winter.The 1988 provisional annual death ratefor these men was about 3 times therate for men 45–54 years of age, andabout 2.5 times the rate for women55-64 years of age.

25

‘ooo~’ooo1800

t i

1800

1600t i

1600

1400

t i

1400

1200t 1

1200

1000 1- 4 1000

1~+ +

800 “+ +

+

1

800+ + ++ ●

+ + ++++

600+ 600

400 400

1982 1983 1984 1985 1986 1987 1988 1989

Figure 41. Death rates per 100,000females 65-74 years of age for Diseasesof heart, bymonth: United States, 1982-69

2000 ~ 42000

1800

1600

1400

1200

1000

800

600

1400

+ I1800

1600

1400

1200

v -1000

-800

- 600

h~l 11~ ‘-400

1982 1983 1984 1985 1986 1987 1988 1989

Figure 42. Death rates per 100,000males 65-74 years of age for Diseasesof heart, bymonth: United States, 1982-69

Diseases of heart was the most fre-quentcause ofdeath forwomen65–74years ofagein 1987, the latest year forwhich final data are available. In thatyear there were 69,425 deaths duetothis cause for women 65–74 years ofage, accounting for 34 percent ofdeaths from all causes for thesewomen. For the period shown in thechart, provisional death rates for Dis-eases of heart have declined. Themonthly death rates for 1988 and thefirst 2 months of 1989 were consistentwith a model estimated on the basis ofprovisional monthly death rates for1979–87. As shown in the chart, womenin the age group 65–74 years had aseasonal pattern of mortality with atendency forhigher ratesin the winter.For these women the provisional an-nual death rate for 1988 for Diseases ofheart was one-half the rate for men inthis age group; the female to maledeath ratio was larger for this agegroup than for the other two agegroups.

For males 65–74 years of age, Dis-eases of heart accounted for 108,647deaths or 38 percent of all deaths forthese men in 1987. For these men Dis-eases of heart was the most frequentcause of death. During the periodshown in the chart, there was a de-crease in the provisional death rates forDiseases of heart for these men. Themonthly death rates for 1988 and thefirst 2 months of 1989 were, with theexception,of 1 month, within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979–87. Death rates for thesemen also showed a seasonal patternwith a tendency for rates to be higher inthe winter. In 1988 the provisional an-nual death rate for men 65–74 years ofage was 2 times the rate for women inthe same age group and 2.3 times therate for men 55–64 years of age.

26

“’~’” In 1987, the latest year for whichfinal data are available, Cerebrovascu-lar diseases was the third most frequent

100 -cause of death for women aged 55–64

- 100 years. It accounted for 5,304 deaths, or5 percent of all deaths for women inthis age group. For the period shown in

75 - - 75 the chart through 1987 there has been adownward trend in provisional death

+ rates for these women. The observed

- 50monthly rates for 1988 and the first6 months of 1989 fell within the predic-tion intervals of a model estimated onthe basis of provisional monthly death

25 - - 25 rates for 1979–87. Death rates for thesewomen showed a seasonal pattern ofmortality, with a tendency for rates to

o - - 0be higher during the winter. Based on1988 provisional annual death rates, the

1982 1983 1984 1985 1986 1987 1988 1989 death rate for women in this age groupFigure 48. Death rates per 100,000females 55-84 years of age for Cerebrovasculardiseases,by month: United States, 1982-89

was three-fourths the rate for men inthe same age group.

1251-

ioo 1I*

KwW’50 “ + + +*+U “&v ~: -+

+ + + +++ ++

25

1 I

oudLLLLL1982 1983 1984 1985 1986 1987 1988 1989

Figure 44. Death rates per 100,000males 55-84 years of age for Cerebrovascular discby month: United States, 1982-89

125 According to final data. for 1987Cerebrovascular diseases was the thirdmost frequent cause of death for malesaged 55–64 years. It accounted for

’00 6184 deaths, or 4 percent of all deathsf~r males in this age group. For theperiod shown in the chart through

75 1987, there was a decline in provisionaldeath ~rates for Cerebrovascular dis-eases for males aged 55–64 years. Themonthly death rates for January

50 1988-June 1989 were within the pre-diction intervals of a model estimatedon the basis of provisional monthly

25 death rates for 1979-87. The monthlyrates for this cause and age-sex groupalso showed a seasonal pattern of mor-

0tality, with a tendency toward higherrates during the winter. The 1988 pro-visional annual death rate for these

;es, men was 1.3 times the rate for womenin the same age group.

27

400

350

300

250

200

150

100

50

0

,+

1982 1983 1984 1985 1986 1987 1988 1989

Figure 45. Death rates per 100,000females 65-74 years of age for Cerebrovasculardiseases,by month: United States, 1982-89

400

350

300

250

200

150

100

50

0

400 F

350 I300

1~

+

250 ‘+ ‘+ +++ *●+ ++++

++200 ●

++ +++ M + *

+ +++ +*+ + +++ * + +

+150

++ +++ +++

100

- 400

- 350

- 300

- 250

- 200

- 150

- 100

‘:~:1982 1983 1984 1985 1986 1987 1988 1989

Figure 46. Death rates per 100,000males 65-74 years of age for Cerebrovasctdardiseases,by month: United States, 1982-89

According to final data in 1987 Ce-rebrovascular diseases was the thirdmost frequent cause of death forwomen aged 65–74years. It accountedfor 13,836 deaths, or 7percentofa11deaths for women in this age group.There has been a downward trend inprovisional death rates for thesewomen for the period shown in thechart through 1987. The monthly ratesfor 1988 and the first 6 months of 1989fell within the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87.The monthly rates for this cause forthese women showed a seasonal patternof mortality, with a tendency for ratesto be higher during the winter. Basedon 1988 provisional annual death rates,the death rate for women in this agegroup was about 3 times the rate forwomen aged 55–64 years and 0.8 timesthe rate for men aged 65–74 years.

In 1987 Cerebrovascular diseaseswas the fourth most frequent cause ofdeath for males aged 65–74 years andaccounted for 13,931 deaths, or 5 per-cent of all deaths for males in this agegroup. For the period shown in thechart through 1987, there was a declinein provisional death rates for Cerebro-vascular diseases for males aged 65–74years. The monthly death rates for theperiod January 1988-June 1989 suggestthat the downward trend for this agegroup may be changing unfavorably,that is, the downward trend may becontinuing at a slower pace than in thepast. Most of the rates for January1988-June 1989 are above the fittedmodel estimated on the basis of provi-sional monthly death rates for 1979–87.Of these, four were above the upper95-percent prediction band based onthis model; and all of these four rateswere within the last 8 months shown onthe chart. The monthly rates for thiscause and age-sex group also showed aseasonal pattern of mortality, with atendency toward higher rates duringthe winter. The 1988 provisional annualdeath rate for these men was about3 times the rate for men aged 55-64years and 1.2 times the rate for womenaged 65–74 years.

28

300

t 1300250

200

I 1250

200

150 ; +150

100

1~ 1

100

+ ++ ++ ‘+ +++++

50 * + ‘+~+++ ++* * +*++ ++ 50

+*+++* ++++++*

o 01982 1983 1984 1985 1986 1987 1988 1989

Figure 47. Death rates perlOO,OOOfemales 7M4years ofagefor Septicemia, bymonth:United States, 1982-89

300

250

200

150

100

50

0

According to final data for 1987Septicemia accounted for 3,493 deaths,or 1 percent of all deaths for womenaged 75–84 years. The trend in provi-sional death rates for Septicemia hasbeen upward for the period shown inthe chart through 1987. The monthlydeath rates for the period January198&June 1989 suggest that the Septi-cemia death rates for these women maynot be increasing as rapidly as in thepast. Most of the rates for this periodwere below the fitted model estimatedon the basis of provisional monthlydeath rates for 1979-87; four of theseconsecutive monthly rates (October1988-January 1989) were below thelower 95-percent prediction band forthis model. As shown in the chart,women in this age group (75–84 years)had a seasonal pattern of mortality,with a tendency for higher rates in thewinter. For these women the provi-sional annual death rate for 1988 forSepticemia was about three-fourths therate for men in this age group.

- 300 In 1987 Septicemia accounted for2,691 deaths, or 1 percent of all deathsfor males aged 75–84 years. During the

- 250 period shown in the chart through 1987there was an upward trend in the provi-sional death rates for Septicemia for

- 200 these men. For the period January198E&June 1989, most of the monthlyrates fell below the fitted model esti-

- 150 mated on the basis of provisionalmonthly death rates for 1979–87, but

+ all rates for this period were within the– 100 95-percent prediction bands for this

+++++ ++ model. In 1988 the provisional annual++ ‘++ death rate for men aged 75–84 years

- 50 was 1.3 times the rate for women in the+ same age group.

+–0

1982 1983 1984 1985 1986 1987 1988 1989

Figure 48. Death rates per 100,000males 75-84 years of age for Septicemia, by month:United States, 1982-89


29

70

60

50

40

I

30

20 [

t~

+++*+ * + + +++++

+ ++++++ ++++10 + ● + *+*+ **+?+

*+ ++ *+

+ + ++++ ● +*+ ++ ● +*+ + ++ + + +*

- 70

- 60

- 50

- 40

- 30

- 20

- 10

0 01982 1983 1984 1985 1986 1987 1988 1989

Figure 49. Death rates perl OO,OOOfemales 25-34 years ofagefor Motor vehicle accidents,by month: United States, 1982-89

70

60[

- 70

- 60

- 50

- 40

- 30

- 20

10 – - 10

0 – [111~ !111 11~[ 111 1111 ~111111 11~1111111 I - 0

1982 1983 1984 1985 1986 1987 1988 1989

Figure 50. Death rates perl OO,OOOmales 25-34 years ofagefor Motor vehicle accidents, bymonth: United States, 1982-89

In 1987, the latest year for whichfinal data are available, Accidents andadverse effects was the most frequentcause ofdeath for women aged 25–34years. Within the catego~ of accidentaldeaths, Motor vehicle accidents ac-counted for 2,494 deaths, or71 percentof all accidental deaths and 16 percentof all deaths for women in this agegroup. For these women provisionaldeath rates from Motor vehicle acci-dents decreased slightly from 1979 to1987. The observed monthly rates for1988 andthefirst7 months of1989 fellwithin the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87.Death rates for these women showed aseasonal pattern of mortality, with atendency for rates to be higher duringthe late summer. Based on 1988 provi-sional annual death rates, the deathrate for women in this age group was0.3 times the rate for men in the sameage group.

According to final data for 1987,Accidents and adverse effects was themost frequent cause of death for malesaged 25–34 years. Motor vehicle acci-dents accounted for 7,973 deaths, or61 percent of all accidental deaths and19 percent of deaths from all causes formen in this age group. For the periodshown in the chart through 1987, therewas a gradual decline with a possibleleveling off in provisional death ratesfor Motor vehicle accidents for malesaged 25–34 years. Monthly death ratesfor January 1988-July 1989 fell withinthe prediction intervals of a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Themonthly death rates for this cause andage-sex group also showed a definiteseasonal pattern of mortality, with atendency toward higher rates duringthe late summer. The 1988 annual pro-visional death rate for these men was3 times the rate for women in the sameage group.

30

70

,. 60

150

40

30

201

-r~++* +10 +++++++*++*+++.+++

‘J++ ‘+●+* *+

*+ + ++*++ i.+ + & + ++ ++++

+ +++ ++ ++

‘~1982 1983 1984 1985 1986 1987 1988 1989

70

,60

50

40

30

20

10

0

Figure 51. Death rates per 100,000females 35-44 years of age for Motor vehicle accidents,by month United States, 1982-89

70

60

50

40

+

+

20 -

10 -

0-

70

60

50

40

30

20

10

3

1982 1983 1984 1985 1986 1987 1988 1989

Figure 52. Death rates per 100,000males 35-44 years of age for Motor vehicle accidents, bymonth: United States, 1982-89

According to final data for 1987,Accidents and aclverse effects was thethird most frequent causeof death forfemales aged 3544 years. Motor vehi-cle accidents accounted for 1,616deaths, or 64 percent of the accidentaldeaths and 7 percent of all deaths forwomen in this age group. There hasbeen no discernible upward or down-ward trend in the provisional deathrates during the period shown in thechart. The observed monthly rates for1988 and the first 7 months of 1989 fellwithin the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87.The monthly death rates showed a sea-sonal pattern of mortality, with a ten-dency for the peak in death rates tooccur from late summer to early fall.Based on 1988 provisional annual deathrates, the death rate for women aged35-44 years was 0.4 times the rate formen in the same age group and 0.8times the rate for women aged 25–34years.

In 1987, the latest year for whichfinal data are available, Accidents andadverse effects was the second mostfrequent cause of death for males aged35-44 years. Accidents accounted for8,339 deaths, or 17 percent of all deathsfor males in this age group. Motor ve-hicle accidents accounted for 4,322deaths, or 52 percent of all accidentaldeaths and 9 percent of deaths from allcauses for men aged 35-44 years. Forthe period shown in the chart through1987, there was a decline in provisionaldeath rates for Motor vehicle accidentsfor males aged 35-44 years. Themonthly death rates for January1983-July 1989 were within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979-37. The monthly deathrates for this cause and age-sex group,like females in this age group, showed aseasonal pattern of mortality, with atendency toward higher rates from latesummer to early fall. The 1988 provi-sional annual death rate for these menfor Motor vehicle accidents was about 3times the rate for women in this sameage group and 0.7 the rate for malesaged 25-34 years.

31

701-- +70

60

50

40

30

1 160

50

40

30

20 - - 20

- 10●+ +

+ +0 -~

1982 1983 1984 1985 1986 1987 1988 1989

Figure 53. Death rates per 100,000females 45-54 years of age for Motor vehicle accidents,by month: United States, 1982-89

7C

6C

50

40

30

20

10

0

+ +++++ +++ + ‘N.

+++ + ++

++++ +

1111!

1982 1983 1984 1985 1986 1987 1988 1989

70

60

50

40

30

20

10

3

Figure 54. Death rates perlOO,OOOmales &54years ofagefor Motor vehicle accidents,bymonth: United States, 1982-89

According to final data for 1987,Accidents and adverse effects was thethird most frequent cause ofdeath forfemales aged 45–54 years and ac-counted for 1,870 deaths, or 4 percentof all deaths for women in this agegroup. Motor vehicle accidents ac-counted for 1,106 deaths, or 60 percentof deaths from all accidents and 3 per-cent of all deaths for women in this agegroup. For these women provisionaldeath rates from Motor vehicle acci-dents decreased slightly from 1979 tothe mid 1980’s and, as shown in thechart, have increased slightly since then.The observed monthly rates for 1988and the first 7 months of 1989 fellwithin the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87.Monthly rates for this cause showed aseasonal pattern of mortality, with atendency for rates to be higher duringthe early fall. Based on 1988 provisionalannual death rates, the death rate forwomen in this age group was one-halfthe rate for men in the same age groupand nearly the same as the rate forwomen aged 3544 years.

According to final data for 1987,Accidents and adverse effects was thethird most frequent cause of death formales aged 45–54 years and accountedfor 5,112 deaths, or 7 percent of deathsfrom all causes for this age-sex group.Motor vehicle accidents accounted for2,470 deaths, or 48 percent of deathsfrom all accidents and 3 percent ofdeaths from all causes for men aged45–54 years, For the period shown inthe chart, provisional death rates forMotor vehicle accidents have declinedslightly. Except for 1 month, monthlydeath rates for January 1988–July1989 fell within the prediction intervalsof a model estimated on the basis ofprovisional monthly death rates for1979–87. The monthly rates for thiscause and age-sex group also showed aseasonal pattern of mortality, with atendency toward higher rates duringthe fall. The 1988 provisional annualdeath rate for these men was twice therate for women in this same age groupand 0.8 times the rate for men aged35–44 years.

32

150

125

100

75

50

25

0

+ ++ ++- + *

**+++*++* *++*+++ +++ + ++ + ++ +.. #+ +

+ +%++ + +++++ +++ ++ ●☞☛☞ +r +

+

1982 1983 1984 1985 1986 1987 1988 1989

Figure 55. Death rates per 100,000males 55-64 years of age for Malignant neoplasms ofgenital organs, by month: United States, 1982-89

150

125

100

75

50

25

0

150

125

100

75

50

25

0

. . *++ i’ +

+ ++ ‘+

** *+++ + + + +*+ +

+ ++++ + ++++ +++

+ 4+ + •1’

-+ *+ + * + + *++++’+ ++.+*+ + +*

+ + ++.+ ++ +* +

+ ++ + ++ ● ☞

☞ ☞

1982 1983 1984 1985 1986 1987 1988 1989

Figure 56. Death rates perlOO,OOOmales 6&74years ofagefor Malignant neoplasmsofgenital organs, by month United States, 1982-89

750

125

100

75

50

25

0

In 1987, the latest year for whichfinal mortality data are available, Ma-lignant neoplasms of genital organs(genital cancer) accounted for 2,531deaths, or 2 percent of deaths from allcauses for men aged 55–64 years. Forthese men, genital cancer was the thirdmost frequent cause of malignant neo-plasm (cancer) death in 1987. For theperiod shown in the chart through1987, there has been no discernibleupward or downward trend in the pro-visional death rates for genital cancer.The observed rates for 1988 and thefirst 7 months of 1989, with the excep-tion of 3 months, fell within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979–87. Although threemonthly rates were above the upper95-percent prediction band, it is tooearly to detect a shift in trend.

According to final data for 1987,genital cancer accounted for 8,694deaths, or 3 percent of deaths from allcauses for men aged 65–74 years. Forthese men, this was the third most fre-quent cause of cancer death. For theperiod shown in the chart through1987, there has been no discernibleupward or downward trend in provi-sional death rates for this age-sexgroup. The observed monthly deathrates for this cause for 1988 and thefirst 7 months of 1989, with the excep-tion of 2 months, fell within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979-87. Based on 1988 pro-visional annual death rates, the deathrate for men in this age group was5 times the rate for men aged 55-64years.

33

1 .-— . . . . .

50

40[ 1

50

40

01982 1983 1984 1985 1986 1987 1988 1989

Figure 57. Death rates per 100,000 females 55-84 years of age for Pneumonia andinfluenza, by month: United States, 1982-89

50

40

30

20

10

0 \

1982 1983 1984 1985 1986 1987 1988 1989

50

40

30

20

10

0

In 1987, the latest year for whichfinal data are available, Pneumonia andinfluenza was the eighth most frequentcause of death for women 55–64 yearsof age and accounted for 1,421 deaths,or 1 percent of deaths for women in thisage group. For the period shown in thechart through 1987, there was no dis-cernible upward or downward trend inthe provisional death rates for Pneumo-nia and influenza for women aged55–64 years. The observed monthlydeath rates for 1988 and the first7 months of 1989 fell within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979–87. Death rates for thesewomen showed a seasonal pattern ofmortality with a tendency for the peakin death rates to be higher during thewinter. Based on 1988 provisional an-nual death rates, the death rate forwomen in this age group was half therate for men in the same age group.

According to final data for 1987,Pneumonia and influenza was the ninthmost frequent cause of death for menaged 55–64 years. It accounted for2,458 deaths, or 1 percent of deathsfrom all causes for men in this agegroup. For these men, there has beenno discernible upward or downwardtrend in the provisional death rates forPneumonia and influenza for 1979-87.The observed monthly death rates for1988 and the first 7 months of 1989 fellwithin the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87.Death rates for these men showed aseasonal pattern of mortality with atendency for rates to be higher duringthe winter.

Figure 58. Death rates per 100,000 males 55-64 years of age for Pneumonia and influenza,by month: United States, 1982-89

34

150

125

100

175

50

25

1

+

+

+++

- 150

- 125

- 100

- 75

- 50

- 25

0 01982 1983 1984 1985 1986 1987 1988 1989

Figure 59. Death rates perlOO,OOOfemales 65-74 years ofagefor Pneumonia andinfluenza, by month: United States, 1982-89

150

t + +

125

100

75

50

25

0

- 150

- 125

- 100

- 75

- 50

According to final data for 1987,Pneumonia and influenza was the sixthmost frequent cause of death forwomen aged 65–74 years and ac-counted for 3,820 deaths, or 2 percentof deaths from all causes for women inthis age group. For the period shown inthe chart through 1987, there has beena slight upward trend in provisionaldeath rates for Pneumonia and influ-enza for these women. Monthly deathrates from this cause for January1988-July 1989 fell within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979–87. The monthly deathrates for this cause and age-sex groupshowed a seasonal pattern of mortalitywith the tendency for rates to be higherduring the winter. Based on 1988 pro-visional annual death rates, the deathrate for women in this age group wasalmost 3 times the rate for women aged55–64 years.

In 1987 Pneumonia and influenzawas the fifth most frequent cause ofdeath for men aged 65–74 years. Itaccounted for 6,206 deaths, or 2 per-cent of all deaths for these men. For theperiod shown in the chart through1987, provisional death rates for Pneu-monia and influenza increased slightlyfor these men. The observed monthlyrates for January 1988–July 1989 were,with the exception of 1 month, withinthe prediction intervak of a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Themonthly death rates for this cause andage-sex group showed a seasonal pat-

Illlt ~,, ,,,, ~ ,,, 0,1982 1983 1984 1985 1986 1987 1988 1989

Figure 60. Death rates per 100,000males 65-74 years of age for Pneumonia and influenza,by month: United States, 1982-89

I tern of mortality, with a tendency forthe peak to occur in winter. Based on1988 provisional annual death rates forPneumonia and influenza, the deathrate for men in this age group was morethan twice the rate for women in thesame age group and more than 3 timesthe rate for men 55–64 years of age.

35

110

[ !

110

100 100

90 90

80 80

70 70

60

~,,,

+

]

60++ + +

50+ +*

++ ++ + *+ +++ 50+ +++ +++ + *

+ ●+ ++++ + “++ +*++ +40 ●++ + * ●++* 40

*+++ * ++

: ‘i+~;‘+”+1:;+:++;++~o 0

1982 1983 1984 1985 1986 1987 1988 1989

Figure 61. Death rates per 100,000females 55-64 years of age for Malignant neoplasms ofgenital organs, by month: United States, 1982-89

110

100I

+

90; + + +

1*+

80 :++ .+++++ . * ++++

++ +

++++ + + ++* ++ ++70 * + + ●+ + + -* + +

+++ ++ + ++++++ *+++

+60 ‘+

++ ++ ++* ++ +

I50

1

40

30

20

4

+

‘~1982 1983 1984

+ .

i-f

I

~,,,,,,

o

- 110

- 100

- 90

- 80

- 70

- 60

- 50

- 40

1985 1986 1987 1988 1989

In 1981, the latest year for whichfinal mortality data are available, Ma-lignant neoplasms of genital organs(genital cancer) accounted for 4,689deaths, or 4 percent of deaths from allcauses for women aged 55–64 years.For these women genital cancer ‘wasthefourth most frequent cause of malig-nant neoplasm (cancer) deaths in 1987.For the period shown in the chartthrough 1987 there has been a slightdecrease in the provisional death ratesfor genital cancer. The observed ratesfor 1988 and the first 7 months of 1989,except for 1 month, fell within the pre-diction intervals of a model estimatedon the basis of provisional monthlydeath rates for 1979-87.

According to final data for 1987,genital cancer accounted for 6,901deaths, or 3 percent of deaths from allcauses for women aged 65–74 years.For these women this was the fourthmost frequent cause of cancer death.For the period shown in the chartthrough 1987 there has been no dis-cernible upward or downward trend inprovisional death rates for this age-sexgroup. The observed monthly deathrates for this cause for 1988 and thefirst 7 months of 1989, except for1 month, fell within the prediction in-

Figure 62. Death rates per 100,000females 65-74 years of age for Malignant neoplasms ofgenital organs, by month: United States, 1982-89

I30 tervals of a model estimated on thebasis of provisional monthly death rates

20 for 1979-87. Based on 1988 provisional4 annual death rates, the death rate for

women in this age group was almosttwo times the rate for women aged55–64 years.

36

90t -i

90

80t 180

170

60

50t -i

50

40

30

20

10

0

- 40

+ ++++++ – 30

+- 20

“ o

1982 1983 1984 1985 1986 1987 1988 1989

Figure 63. Death rates per 100,000females 55-64 years of age for Diabetes mellitus, bymonth: United States, 1982-89

90 - - 90

80 - - 80

70 - – 70

60 – - 60

50 - - 50

40 -

+

10 –

1982 1983 1984 1985 1986 1987 1988 1989

In 1987, the latest year for whichfinal data are available, Diabetes mel-litus was the fifth most tkquent causeof death for women aged 55–64 yearsand accounted for 2,992 deaths, or3 percent of all deaths for women inthis age group. For these women provi-sional death rates from Diabetes mel-litus increased slightly from 1979 to themid-1980’s and, as shown in the chart,have decreased slightly since thenthrough 1987. The observed monthlydeath rates for 1988 and the first7 months of 1989, except for 1 month,fell within the prediction intervals of amodel estimated on the basis of provi-sional monthly death rates for 1979–87;however, all but four of the monthlyrates for January 1988 through July1989 were above the line predicted bythis model. Based on 1988 provisionalannual death rates, the death rate forwomen in this age group was about thesame as the rate for men in the sameage group.

According to final data for 1987,Diabetes mellitus was the seventh mostfrequent cause of death for men aged55-@ years. It accounted for 2,922deaths, or 2 percent of deaths from allcauses for men in this age group. Forthese men provisional death rates fromDiabetes mellitus decreased slightlyfrom 1979 to the mid-1980’s and, asshown in the chart, have increasedslightly since then through 1987. Theobserved monthly death rates for thiscause for 1988 and the first 7 months of1989 fell within the prediction intervalsof a model estimated on the basis ofprovisional monthly death rates for1979–87. Death rates for these menshowed a seasonal pattern of mortality,with a tendency toward higher ratesduring the winter.

Figure 64. Death rates per 100,000males 55-64 years of age for Diabetes mellitus, bymonth: United States, 1982-89

37

90

80

70

60

50

401

30

20

10

1

+ - 90

++ ++

++

++ ++++ +

1982 1983 1984 1985 1987 1988 1989

Figure 65. Death rates per 100,000females 65-74 years of age for Diabetes mellitus, bymonth: United States, 1982-89

90

80

I

+90

+ + ++

~i

80++

4+ ++ ++ +

30

20

10[

o L1982 1983 1984 1985 1986

w’”!

170

60

-150+

\ !40

30

20

10

01987 1988 1989

Figure 66. Death rates per 100,000males 65-74 years of age for Diabetes mellitus, bymonth: United States, 1982-89

According to final data for 1987,Diabetes mellitus was the fifth mostfrequent cause of death for womenaged 65–74 years and accounted for5,877 deaths, or 3 percent of deathsfrom al lcausesforwomenin this agegroup. For the period shown in thechart through 1987 there has been nodiscernible upward or downward trendin the provisional death rates for Dia-betes mellitus for these women. Whilethe observed monthly death rates fromthis cause for 1988 fell within the pre-diction interval of a model estimated onthe basis of provisional monthly deathrates for 1979–87, six of the sevenmonthly death rates were close to theupper 95-percent prediction band for1989. This may suggest a shift in trend.The monthly death rates for this causeand age-sex group showed a seasonalpattern of mortality, with the tendencytoward higher rates during the winter.

In 1987 Diabetes mellitus was theseventh most frequent cause of deathfor men aged 65–74 years. It accountedfor 4,912 deaths, or 2 percent of alldeaths for these men. For the periodshown in the chart through 1987 therehas been no discernible upward ordownward trend in the provisionaldeath rates for Diabetes mellitus forthese men. The observed monthly ratesfor January 1988 through July 1989were, except for 1 month, within theprediction intervals of a model esti-mated on the basis of provisionalmonthly death rates for 1979–87; how-ever, all but two of these rates withinthe prediction interval were above theline predicted by this model. Themonthly death rates for this cause andage-sex group showed a seasonal pat-tern of mortality, with a tendency forthe peak to occur in winter. Based on1988 provisional annual death rates forDiabetes mellitus, the death rate formen in this age group was about thesame as the rate for women in the sameage group and more than twice the ratefor men 55–64 years of age.

38

120

100

80

60

40 1

120

100

80

60

40

+ ++++ + *+

o “

1982 1983 1984 1985 1986 1987 1988 1989

Figure 67. Death rates perlOO,OOOfemales 2%34yearsof age for Accidents and adverseeffests,by month: United States, 1982-69

‘20~120100I I 100

80 -

40 –

20 - - 20

0 -,

Figure 68. Death rates per 100,000males 25-34 years of age for Accidents and adverseeffects,by month: United States, 1982-89

In 1987, the latest year for whichfinal mortality data are available, Acci-dents and adverse effects accounted for3,531 deaths, or 22 percent of deathsfrom all causes for women aged 25–34years. For these women, Accidents andadverse effects was the most frequentcause of death in 1987. Provisionaldeath rates for Accidents and adverseeffects decreased slightly from 1979 tothe mid-1980’s and have stabilizedsince then, through 1987. The observedrates for 1988 and the first 8 months of1989 fell within the prediction intervalsof a model estimated on the basis ofprovisional monthly death rates for1979–87. Death rates for these womenshowed a seasonal pattern of mortalitywith a tendeney for rates to be some-what higher during the summer.

According to final data for 1987,Accidents and adverse effects ac-counted for 13,091 deaths, or 31 per-cent of deaths from all causes for menaged 25–34 years. For these men, thiswas the most frequent cause of death.For the period shown in the chartthrough 1987, there has been a de-crease in the provisional death rates forAccidents and adverse effects. The ob-served monthly death rates for thiscause for 1988 and the first 8 months of1989 fell within the prediction intervalsof a model estimated on the basis ofprovisional monthly death rates for1979-87. Death rates for these menshowed a seasonal pattern of mortalitywith a tendency for rates to be higherduring the summer. Based on 1988 pro-visional annual death rates, the deathrate for men in this age group wasaImost 4 times the rate for women aged25–34 years.

39

50 –

40 –

30 –

20 –

50

40

30

20

10 +++ – 10+

~+++ ++++ +. ++ *+++ +++++

+ +++++●+ ++”* .’-+’ “++. +++++ +++ * ++ ++*

+ + + + + *-+ ++o –

1982 i9a3 1984 1985 1986 1987 1988 1989

Figure 69. Death rates perlOO,OOOfemales 25-34 years ofagefor Suicide, bymonth:United States, 1982-89

+ ++++++ ++

* ,+++++ + +20 - + +

10 -

0 – o

1982 1983 1984 1985 1986 1987 1988 1989

Figure 70. Death rates perlOO,OOOmales 25-34 years ofagefor Suicide, bymonth: UnitedStates. 1982-89

50

40

30

20

10

In 1987, the latest year for whichfinal data are available, Suicide was thefourth most frequent cause of death forwomen aged 25–34 years after Acci-dents and adverse effects; Malignantneoplasms, including neoplasms of lym-phatic and hematopoietic tissues; andHomicide and legal intervention. Forthis group Suicide accounted for 1,285deaths, or 8 percent of all deaths towomen 25–34 years. For these women,provisional death rates for Suicide werestable from 1979 through the early1980’s and, as shown in the chart, havedecreased slightly since then, through1987. The observed monthly deathrates for 1988 and the first 8 months of1989, with the exception of 1 month,fell within the mediction intervak of aa

model estimated on the basis of provi-sional monthly death rates for 1979–87.

According to final data for 1987,Suicide was the second most frequentcause of death for men aged 25–34years after Accidents and adverse ef-fects. It accounted for 5,370 deaths, or13 percent of deaths from all causes formen in this age group. For the periodshown in the chart through 1987, therehas been no discernible upward ordownward trend in provisional deathrates for Suicide for this age-sex group.The observed monthly death rates forthis cause for 1988 and the first 8months of 1989 fell within the predic-tion intervals of a model estimated onthe basis of provisional monthly deathrates for 1979–87. Death rates for thesemen showed a seasonal pattern of mor-tality with a tendency for the majorpeak to occur during the spring. Basedon 1988 provisional annual death rates,the death rate for men in this age groupwas almost 5 times the rate for womenin this same age group.

40

50

t

40 -

30 –

20 –

10 -+

4, ++ ~ +“+*+ ‘++ + “ *“ ++++* ++~+ + +’+ ++’ +

* ++’++++

+ +** ++ + +++ + *+++.“ * ++’ ‘+ +++ ‘++ *+

++

- 50

– 40

- 30

- 20

– 10

0 0

1982 1983 1984 1985 1986 1987 1988 1989

Figure 71. Death rates per 100,000females 25-34 years of age for Homicide and legalintewention, by month: United States, 1982-89

50

40

30

20

10

0

“YN’v’&o-1 I I I u\/

Ill+lllv1982 1983 1984 1985 1986 1987 1988 1989

)

)

)

)

)

According to final data for 19S7,Homicide and legal intervention wasthe third most frequent cause of deathfor women aged 25–34 years and ac-counted for 1,501 deaths, or 9 percentof deaths from all causes for women inthis age group. For the period shown inthe chart through 1987, there has beenno discernible upward or downwardtrend in the provisional death rates forHomicide and legal intervention forthese women. The observed monthlydeath rates for this cause for 1988 andthe first 8 months of 1989 fell within theprediction intervals of a model esti-mated on the basis of provisionalmonthly death rates for 1979–87. Basedon 1988 provisional annual death ratesfor Homicide and legal intervention,the death rate for women in this agegroup was less than half the rate formen in this same age group.

In 1987 Homicide and legal inter-vention was the third most frequentcause of death for men aged 25–34years, after Accidents and adverse ef-fects and Suicide. It accounted for5,045 deaths, or 12 percent of all deathsfor these men. For the period shown inthe chart through 1987, there has beena decrease in the provisional deathrates for Homicide and legal interven-tion for these men. Although the ob-served monthly rates for January1988-August 1989 were within the pre-diction intervals of a model estimatedon the basis of provisional monthlydeath rates for 1979–87, all but two ofthe monthly rates were above the fittedmodel. The monthly death rates forthese men showed a seasonal pattern ofmortality, with a tendency for rates tobe higher in the fall.

Figure 72. Death rates per 100,000males 25-34 years of age for Homicide and legalintervention, by month: United States, 1982-89

References

1. Last JM, ed. Dictionary of Epidemiology. Oxford UniversityPress. New York. 1988.

7-. Serfling RE. Methods for current statistical analysis ofexcess pneumonia-influenza deaths, Public Health Rep78(6):494-506, 1963.

3-. Collins SD, Lehmann J. Excess deaths from influenza andpneumonia and from important chronic diseases duringepidemic periods, 1918-51. Public health monograph, No.10, Federal Security Agency, Public Health Sewice. 1953.

4. Choi K, Thacker SB. An evaluation of influenza mortalitysurveillance, 1962–1979. American Journal of Epidemiology.113:215-26.1981.

5. Lui KJ, Kendal AP. Impact of influenza epidemics onmortality in the United States from October 1972 to May1985. Am J Public Health 77(6):712-16. 1%’7.

6. Shumway, RH. Applied statistical time series analysis.Prentice-Hall Press. Englewood Cliffs, New Jersey, 1988.

7. Centers for Disease Control. Influenza –United States,1987-88 Season. MMWR 37:497-503, 1988.

8. Haskey J. Mortality Surveillance 1968-76, England andWales. Deaths and rates by sex and age group for 8threvision causes, A-list and Chapters, Great Britain OfTice ofPopulation Census and Surveys, Medical Statistics Division.Crown, 1978.

9. Ostle B. Statistics in research. Second edition. The IowaState University Press. Ames, Iowa, 159-221.1963.

10. National Center for Health Statistics. Births, marriages,divorces, and deaths for 1989. Monthly vital statistics report;vol 38 no 12, Hyattsville, Maryland: Public Health Service,1990.

11. National Center for Health Statistics. Annual summary ofbirths, marriages, divorces, and deaths: United States, 1989.Monthly vital statistics report; vol 38 no 13. Hyattsville,Maryland: Public Health Service. 1990.

42

List of detailed tables

1,

2.

3.

4.

5.

6.

7.

Estimated number of deaths and death rates for Allcauses, by specified age, sex, and year and month ofoccurrence: United States, Januwy 1979–December19s9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Estimated number of deaths and death mtes for Malig-nant neoplasms of respiratory and intxzdthoracic organs,by specified age, sex, and year and month of occur-rence: United States, January 1979–December 1989. . . 46Estimated number of deaths and death rates forChronic obstructive pulmonary diseases and allied con-ditions, by specified age, sex, and year and month ofoccurrence: United States, January 1979–December19s9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48Estimated number of deaths and death rates for Acci-dents and adverse effects, Homicide and legal interven-tion, and Suicide, for males and females aged 15–24years, by year and month of occurrence: United States,Januwy1979-December1989 . . . . . . . . . . . . . . . . . . . . 50Estimated number of deaths and death mtesfor Acci-dents and adverse effects, Chronic liver disease andcirrhosis, and Suicide, for males and females aged55-64 years, by year and month of occurrence: UnitedStates, January 1979-December 1989 . . . . . . . . . . . . . . 52Estimated number of deaths and death rates for Malig-nantneoplasms ofdigestive organs and peritoneum andMalignant neoplasm of breast, by specified age and sexand by year and month of occurrence: United States,Januwy1979-December19S9 . . . . . . . . . . . . . . . . . . . . 54Estimated number of deaths and death rates for Dis-eases of heart, by specified age, sex, and year and

8.

9.

10.

11.

12.

1

month of occurrence: United States, January 1979-December 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Estimated number of deaths and death rates for Cere-)rovascular diseases and Septicemia, by specified age,;ex, and year and month of occurrence: United States,ranuary 1979-December 1989.... . . . . . . . . . . . . . . . . 58~stimated number of deaths and death rates for Motor/chicle accidents, by specified age, sex, and year andnonth of occurrence: United States, January 1979–De-:ember19S9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Estimated number of deaths and death rates forMalignant neoplasms of genital organs and Pneumo-nia and influenza, by specified age, sex, and yearandmonth of occurrence: United States, January1979-December 19S9. . . . . . . . . . . . . . . . . . . . . . . . . . 62Estimated number of deaths and death rates for Ma-lignant neoplasms of genital organs and Diabetesmellitus, by specified age, and sex, and yearand month of occurrence: United States, January1979-December 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . 64Estimated number of deaths and death rates for Acci-dents andadverse effects, Suicide, and Homicide andlegal intervention, for males and females aged 25-34years, by year and month of occurrence: United States,January 1979-December 19S9... . . . . . . . . . . . . . . . . 66

13. Selected statistics and modeI parameters for the firstyear’s topics from the Mortali& Surveillance System,Monthly VVal Statistics Repoti, volume 38, number2-volume 39, number 1: United States, January1979-December 19S9. . . . . . . . . . . . . . . . . . . . . . . . . . 6S

43

Table l. Estimated nrJmberof deaths anddeath rates for Ali causes, byspecified age, sex, andyear andmonth of occurrence:United States, January 1979-December 1989

[Data are provisional, estimated from a 10-percent sample of deaths. Rates on an annual basis per 100,000 estimated population for the specific month]

45-54 years 55+54 years 65–74 years

Fema/e Male Female Male Female Male

Year and monthof occurrence Number Rate Number Rate Number Rate Number Rate Number Rate Number Rate

1979:JanuaryFebruary, ,, :.,:,:::,,:March, ,,, , .,,.,..,,,,April .,,,,..,,.,.,,,,,May .,,,,,,,,,,,,,,,,June. ..,..........,,.July . . . . . . . . . . . . . . .August. ,,, . . . . . . . . . . . .September . . . . . . . . . . . . .October, .,.November...,....::::,December . . . . . . ., ,,

1980:Januar y.,,,.......,,.,February, , . . . . . . . . . . . .March ..,.. . . .APHI. ,,, , . . . . . . . . . . . .MayJune..:::.”:::.::::::July . . . . . . . . . . .August, , . ., . .,, ,,,,..,September . . . . . . . . . . . . .October, . . . . . . . . . . . . . .November .,..,,,,,,,..December . . . . . .

1981:January. . . . . . . . . . . . . .February . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . .May, . . . . . . . . . . .June. .,,July.......::::,:::::August, . . . . . . . . . . . . . .September.October.November,,..,:,,.::.December . . . . . . . . . . . .

1982:January . . . . . . . . . . .FebruaryMarch.,.,:,:::::::::’April,.May......,.;;’”June . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. .,.....,..September.October.,....,::::::::November .December...,:::::::::

1983:January ...,,......,..February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . .May...,,.....,.,;;;;June . . . . . . . . . . . . . . . . .JulyAugust....:..:::::::::September, . . . . . . . . .October.............::November, .,...,,.,,,December ...,..,...,,,

1984:January, . . . . . . . . . . . . . .February, . . . . . . . . . . . .March, . . . . . . . ,,,,April .,...........,,.,May .,,,.........,,,.June . . . . . . . . . . . . . . .July, . . . . . . . . . . . .August, . . . . . . . . . . . ,,:September . . . . . . . . . . . . .October, . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . .

4,3804,4304,4204,0503,7103,6503,8903,7803,5804,0303,9404,230

4,1104,5804,0003,6503,9804,0604,3203,6903,6404,0903,7104,480

4,1304,5104,1203,9603,9103,9304,1103,8403,6803,9803,7203,750

3,8504,0003,8904,1503,5803,8103,7303,9303,5303,6503,4303,830

4,0503,6203,8503,7703,7903,7303,8203,3803,5403,7403,7403,830

3,8003,6703,8803,7903,3603,8503,7203,3203,4603,1304,0103,970

432,1483.5435.4411.8364.8370.5385,9378.6370.1402,7406.5421,9

410,7488.8399,0375.9396,3419,3433.8373.7380.5413.4387.0452.0

415,2501.7413,7410,5391,9406,74157391.43872404,83908380.8

390.7449,1394.24342362,2398.0379.8402,4373.1393.5361.9390.8

412.9430.9392.0396.3385.3391.53902346.0374.1382,1394.5390.7

388,5400.8398.1399,5344,6405,2379.3339,0364,83191422,0404,1

7,8307,3507,1106,9806,4206,2106,5406,9106,1806,7607,1707,090

7,2707,1707,6007,0006,8106,7907,5307,2506,3207,3807,0607,790

8,0407,2607,5906,3906,7506,9206,9806,6606,6706,6906,5806,250

7,0006,2606,4406,5606,6806,5306,9306,7206,2606,7706,2506,780

6,8906,3506,6806,4806,3006,3906,0305,9006,0508,3506,3806,600

6,3906,5006,1806,0706,1605,9506,5606,0905,9006,3106,5306,740

829.086087515761,6677.4676.46958741.4684.4723.6792.3757.5

778.2819.78121772,2726,4747.4809.0785.2706.5797.5787.7840.4

864.4863,5814,97083723,5765,8754,5725.1749,7726,8738,2678.0

7586750,7697.1733,2722,0728,6753.5732.5704.4736.6702.0736.4

747.6762.5724.1725.2681.8714,0654.0641.0678.6688.6714.4714.7

693.3753.4669.6679.1666.5664.7709.8659.9660.16825729.2727.8

8,9708,5508,7608,3508,2807,7608,2807,5007,7308,8608,2908,560

9,3908,9509,9008,9908,7208,4606,9508,8206,3706,6708,7409,640

10,2709,7209,6008,8109,0808,840S,8609,0209,1206,9308,6209,030

8,9008,3309,5009,1108,5908,8809,3008,7308,6409,0608,5709,620

9,7109,5909,7809,0408,7308,6809,4508,7208,7909,2508,4209,590

10,0608,9409,9909,2408,7708,7608,9309,3108,6108,8008,5609,470

933.59843912.3895.7858.7830.9654.7772.0821.3910.0679,0877,5

964,4981,7

1,014,9951,5892,4893.5912.3898,2879.9901.4917.0998.2

1,038.21,087.2

989.4918.3915.2919.9892.6908.9948.6898.0894.9906.6

892.9924.5951.7942.3859.2917.0929.2674.6893.5907.8884.7960.3

968.51,058.3

974.2929.7868.3891.3941.8871.9907.4923.2867.7955.7

1,004.6953.7996.3951.4873.3900.7690.5932.1890.0879.4883.1944.9

2,006,52,018,31,749,61,859,81,672,31,730,11,610,01,678,21,577.61,777.31,787.51,836.7

1,807.42,023.81,938.41,878.31,826.61,736.21,789.51,729.61,731.61,795.41,725.61,S88.2

2,050.81,992.71,673.41,752.51,767.01,704.61,668.11,680.21,701.11,742.21,757.21,758,9

1,827,31,886.11,748,11,810.71,592,41,754,91,657,41,722,51,646.51,710,31,603.61,801.7

1,876,31,972,91,733.21,835,21,626.61,686.41,750.31,622.01,611.41,680.11,639.11,710.2

1,821.21,813.81,729.51,748.51,621.11,720.41,660.21,618.31,617,21,613.11,741,21,776,3

24.30022;46021,38020,76020,66020,13021,11019,92020,36022,49022.38022:100

25,04023,49024,67022,58022,85020.86022;14022,60021,16023,05022,76024,460

26,21025,26025,01022,99023,31021.89022;31020,93021,97022,63021,15023,290

25,02022,27023,78023,60022.98022;15023,50021,64021,83023.62022;67025,040

4,352,84,450.93,823.43,832.83,688.53,709.73,738.83,507.43,700.03,951.14,058.63,875.0

4,398.64,407.04,325.94,088.43,999.73,768,03,848.63,911.83,760.83,981.54,058.34,217.7

4,503.84,802.14,291.34,073.33,993.33,872.23,806.13,559.13,856.63,840.43,705,73,946.2

4,236.34,171.14,020.04,119.53.879.1

3;886,94,151,9

25,160 4,168.824,490 4,489.424,340 4,027.324.010 4.101,722;65021,78024,27020,97021,57023,13021,94025,010

26,31023,71025,08025,04023,75022,79022,52021,88021,84023,16022,02024,410

3;741 .93,715.03,970.03,415.03,626.33,759.53,681.94,058.9

4,278.64,116.94,073.04,199,13,851.23,816,13,628,83,504.63,611.43.702,63:634,23,896.1

44

Table 1. Estimated number of deaths and death rates for AH causes, by specified age, sex, and year and month of occurrence:United States, January 1979-December 1989 – Con.


45-54 years 55-64 years 65-74 years

Female Male Female Male Female Male


1985:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1986:January. . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .AP~l. . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1987:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .AP~l . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June. . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December, . . . . . . . . . . . .


1969:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July, . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

3,7803,5803,5603,6103,6703,7804,1303,3403,2403,3903,5603,650

3,2103,6903,7003,4103,4603,3003,5703,0603,6103,4203,4003,530

3,8203,7603,5704,0003,6103,5803,6003,6803,3903,7903,7403,630

3,4803,7103,4403,6903,6903,0603,7603,6003,4703,6103,4003,920

3,3303,8303,9303,3603,7603,8303,5103,3203,2603,4703,5804,030

383.4401.7360.6377.6371.2394.7418.1337.9338.4342.3373.3368.0

323,4411,3372.2354.2347.6342.2356.1305.2371.7340.5349.5350.9

379.5415,5354.2409,8357.7366.2354.2361.8344.0371.9378.9345.8

335.2363.0331.2366.0353.2301.8357.8341,7339.5340.9331.0368.4

311.2395.3365.5324,0348.0365.3323.2305.1308.9317.5337.6367.2

6,5105,6206,3406,4306,0906,2206,4805,7205,8705,8205,9906,520

6,5605,9406,6906,2106,3506,1005,6405,5306,0306,4406,2406,220

5,9505,7108,1706,4006,4606,0006,3906,2305,6505,7405,6705,650

6,6406,2606,8106,1506,1606,0806,0406,3805,9106,0605,8606,490

6,2008,2106,9306,3306,4605,7606,5006,3606,0306,6306,2806,470

700.6669.2681.5713.7653.6689.3696.1613.6650.1623.2662.2696.9

700,7701,9713,6664.0676.3670.8599.5584.1657.5676.6679.2654.7

625.9664.5648.2694.2677.7649.9665.2648.0606.7595.9607.7606.3

679.9683.1693.1644.8623,1633,5607.2639.6610.7604.5602.5644.1

611.6676.8680.5640.7631,2580.1631.9617.0603.2640.5625.6622.4

10,2209,4109,4309,5809,0808,6309,2408,7208,9208,6908,9309,030

9,7908,9809,7908,4609,1908,6109,2007,9308,7009,4508,8106,720

9,4409,120

10,0206,6308,9708,7408,9008,6407,8308,6607,9109,050

9,1309,0309,5009,2309,1408,2008,4607,9108,5508,6508,1209,030

6,7608,8709,0608,8308,4207,6608,0608,5608,0308,1307,6909,020

1,016,21,035.2

936.4982.3900.4883.5919.2873.0921.9666.4921.4900.9

976.0990.3974.5871.7913.5883.7919.9800.3906.3951.8916.2677.0

948.61,014.21,005.6

915.2899.1904.6899.2872.2816.1874.6623.0910.5

929.8984.0969.3974.2934.4867.1866.4811.1906.8888.9863.2930.0

899.51,009.6

932.5940.1868.5617.2833.1865.5859.0842.3823.9936.0

17,03014,82015,18015,40014,47014,38014,86014,06013,64014,11014,16015,180

15,93014,30015,20014,52014,35014,18014,35013,73013,65013,93013,92014,230

15,01014,50014,26015,04013,93013,41014,39013,55012,63014,26013,32014,160

15,06015,41014,38014,46013,78013,50013,04013,72012,69013,64013,05014,010

14,05013,32014,30013,23014,00013,14013,61012,27012,25013,57012,36013,870

1,911.51,840.41,701.71,782.61,619.71,662.01,666.51,566.41,588.81,589.01,646.41,706.6

1,789.71,777.41,705.31,682.01,607.41,640.11,615.91,559.21,600.11,578.71,629.21,610.6

1,697.71,814.71,810.91,754.41,571.31,561.91,634.51,538.01,503.41,615.51,558.01,601.6

1,722.21,885.31,646.71,715.11,580.91,601.21,497.81,577.21,532.41,570.51,554.31,616.1

1,615.21,697.01,647.11,576.11,615.11,567.71,572.41,418.31,463.91,570.11,478.51,606.4

16,94017,25017,59017,23016,25015,64015,97015,21015,58016,50016,27017,120

17,84017,68016,89017,28017,29016,00018,46015,50016,53016,59016,28016,690

18,46016,70018,19017,98017,12016,33017,06015,90015,24016,94016>56017,400

18,26018,17018,78017,19016,45015,77016,92015,68016,16017,19015,56017,890

18,23018,06018,08017,20016,90015,60016,52018,21015,04016,32014,84016,310

2,354.32,372.52,183.62,208.72,014.42,002.01,973,11,871.31,978.92,026.22,062.82,089.1

2,185.72,393.52,311.02,182.92,112.22,018.12,001.11,878.82,066.32,005.12,031.52,014.0

2,226.32,228.22,191.02,236.12,059.42,028.02,040.51,900.21,860.32,020.82,039.72,072.5

2,177.62,314.22,235.42,113.21,955.31,935.22,007.31,858.31,976.72,032.41,898.92,110.5

2,142.12,347.22,120.52,082.51,977.81,884.21,928.51,890.61,810.71,898.91,762.52,125.9

4,096.04,343.53,944.84,103.13,675.23,696.83,613.33,260.23,645.03,649.03,666.23,755.4

3,906.64,171.63,923.23,876.83,648.43,590.73,461.33,316.43,491.73,432.53,546.83,593.2

4,047.53,939.33,694.63,969.73,610.43,547.23,503.43,483.73,402.63,491.03,582.43,590.5

3,748.44,007.63,972.83,741.33,580.63,457.43,361.63,389.73,361.43,530.43,415.03,475.1

3,555.03,831.43,656.53,582.73,455.73,311.93,356.13,083.53,084.43,249.53,225.03,684.5

NOTE: Data in this table are for figures 1-6. These figuras were previously published in the Month/y Vita/Statistics Repodon births, marriages, divorcas, and deaths forFebruary 1969, voiume 38, number 2.

45

Table 2. Estimated number of deaths and death rates for Malignant neoplasms of respiratory and intrathoracic organs, by specified age,sex, and year and month of occurrence: United States, January 1979-December 1989

[Data are provisional, estimated from a 10-percent sample of deaths. Rates on an annual basis per 100,000 estimated population for tha specific month]

35–44 years 45–54 years 55–64 years

Female Male Female Male Fema/e Ma/e


1979:January, .,,,.....FebruaryMarch, ,,, ,. ,: ::::”Aped . . . . . . . . . . . . . ,,,May. . . . .June . . . . . . . . . . .Julv, . . . .,,,, .::August, .,..,...September.October.....::”””,,:”:November, . . . . . . . . . .December ..,.,,,.,.,

1980:January. ,. .,,,..February,.,,,,...,::’”March . . . . . . . . . . .,April .,.,.,May . ...,,....June. ..,,,July.......:’:::::::”August. .,, . . . . . . . . .September.October, ,,, , ..::’”,,,,November . . . . . . . . . . .,December, .,......,,,

1981:January. .,,.,...February . . . . . . . . . . . . . .March ...,.....,,,,..AprilMay .,,:::::’::..::,’June. .,.,...July...,.,,,..:::::::August, ,,,.,.. .,,,.,.September.October . . . . . . . ...’.’..November .,... . .December, ,,..

19S2:January, ,..., ,,FebruaryMarch . .,,,,.... :::::April .,.,,,,,,,.May, ,,,, ,,, ,, ..::::June, . . . . . ,,,,,July, .,,,,..August, ,.. .,, ,. ””:”:.September.October. :.::November . .,, ,. ..,..,December ..,,,... ..,,

1983:Janua~ .,, . . . . . . . . . . . .February, ,,, ,,,,.March,,,,..,,....::::April ..,,,.,......,,,,May, ,,.,..June, ..,..,..:’’’:,.:July . . . . . . . . . . . . .August. .,,....,,,September......,,,.:::October. .,,..,,,November....,,,.,:”::December . . . . . . . .

1984:January . . . . . . . . . ,.,.FebruaryMarch . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June. . . . . . . . . . . . . . . .July .,, ,,,..,.August. .,, , . ., . . . . . . . .September, . . . . . . . . . . . .October, .November,.,::::::. :,December . . . . . . . . . . . . .

110

1.%408040

110

1U60

1;8

304030

130

%80

1%

::80

80

::807050409070

1r%80

11020802040

1::100806060

120

4050

11013010011030908050

1%

8060

10070809050

120100

::80

10,3*4 1121*3.8*7,4‘3.8101‘6.4*9.4*5.5*6.6100

*2,7*3 9*2.712.2“5.4“4,7*7.2*4.510.1*7,1*5.5*7.1

*7.1*5 9*7.9‘7,3*6,2*4,5‘3,5*7.7‘6.1*5.1*88*8.8

9.3‘1.9*6.8*1,7*3.4*6.1*8.2‘8.1*6,7*4.8‘5.09.7

*3.2*4 48.8

10.8‘8.09.1

*2.4‘7.0*6.4*3.9*7.211,6

*6.2‘5.0*7.7*5.6*4.6*7.2*3..89,0

‘7.7*o 7*6 2*4.5

160120140120

1;:150110120120200110

90180140130160130150110140180100130

23010011016018013018010040

100190130

80120140100100

1%130130110100160

14018017014014013014080

120140120160

1301001801301308070

130170

1%90

17.512,913,612.0*6.817.014,310.411.711319.510,4

*8.518,213,212,715112,614,010.213.316.6*9.512.0

21,1*1 0.1

10.115.116.412.316.3*8.8*3,6*8.817,311.4

“7,0117123*9.1‘8.7*7.214,510.911.2

*H13,3

11,714,714.112.011.611.111.4*6.49.9

11.29.9

12,8

10.4*8.614.410.710.4‘6,6*5,510,013.6*6,9‘8.0*6.9 860

660850710620810560610680550740730800

720680800830750690660740650890750620

790730900860690700630780770780770620

720700820880730650830720860910950950

910960

1,170760860770650920960920720

1,020

970900950930970980870

1,030690890690

92.9 930

235,0228.6218.1231.3208.3202.9191.1211.8175,2204.3201.3235.4

214.8228.2223.8243.1218.7212.5229.6216.9217.9236.1217,5189,5

259.1243.4231.2252.9207.8231.1213.7231.0236.1225.9240.4213.0

224.3229.1213.7234.7204.2242.6215.4241.5211.7246.8218.3229.3

231,4217.1217.5215.2210.4230.1237.3219.6212.7229.3214.7217.7

247.6252.4219.0223.8204.0221.2220.9204.5212.4225,6243,4273.7

46

Table 2. Estimated number of deaths and death rates for Malignant neoplasms of respiratory and intrathoracic organs, by specified age,sex, and year and month of occurrence: United States, January 1979-December 1989–Con.


3544 years 45-54 years 55-64 years




1986:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1987January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June. . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1988:January . . . . . . . . . . . . . . .Februa~ . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1989:January . . . . . . . . . . . . . . .Februa~ . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .JuIv . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

12080

1108050

1%9060

120

%

6090

;;

1%808070

1x100

1209060

100908050

16040709060

60110

908060

1xl60

1x

1%

100100

906090

1::90

11090

14070

8.9‘6.68.2

*6.1*3.7*3.88.7

*6.5*4.48.6

*5.9*2.1

*4.3‘7.1‘5.0*8,6*2. 1*7,4*5.6*5.5‘5.0*3.48,6

*6.9

8.3‘6.9‘4.1*7.1●6.2*5,7*3.410.8*2.8*4.7*6.3‘4.0

‘4.07.9

‘6.0*5.5*5.3*0.77.9

*4.O●4.79.2

*5.48.5

*6.5‘7.1*5.8*4. o*5.8*4.6*6.4*5.77.2

*5.79.1

*4.4

120110170130120170130150100180

2%

110110

90

1%120100140100140140160

8016011013013019022014070

160140150

170130220150140140140130150110170190

110

1:8150160110150110

1::140130

9.2

1:::10.39.2

13.49.8

11.1‘7.613.3*6.915,5

8.19.0

*6.6●6,111.0

9,1●7.210.0*7.3

9.910.311.4

*5.712.67.89.59.2

13.915.39.7

*5.O11.110.010.4

11.79.5

15.110.69.59.89.58.8

10.57.4

11.812.7

7.3*6.68.6

10.210.57.49.87.2

*5.49.19.38.3

370280380340460450340280370400350350

370380320250300390340320290430320380

440390290450310340350430380350360340

300350270450350310360330310340410330

360350380350320330360380270350350310

37.531.438.535.646.547.034.428.338.640.436.535.3

37.342.332.226.030.140.434.131.929.942.832.937.8

43.742.928.846.130.734.834.442.338.634.336.533.3

29.136.126.044.633.530.634.331.330.332.139.931.0

33.636.133.533.529.631.533.134.925.632.033.028.2

550610600580680690720630570600510660

620530650670560500590600660700770550

550600660630690540710520460590600680

600690710640870740500740890690610610

740520700660630690660610680610650650

59.272.664.564.473.076.577.367.663.164.256.470.5

66.262.669.373.859.655.062.763.472.073.883.857.9

57.869.869.368.372.458.573.954.149.461.264.370.5

61.475.372.367.167.877.150.374.271.368.862.760.5

73.056.788.766.861.669.564.259.268.058.964.862.5

1,000920940980790850

1,010680810950

1,000820

1,140830

1,040950930940620

1,050930

1,0701,040

840

890890930930

1,030990990950900

1,110800890

9101,000

840970

1,1101,000

910860

1,050870

1,0101,180

1,1201,0601,1801,0601,050

9701,0101,1701,070

940860

1,110

99.4101.293.3

100.578.387,0

100.588.183.794.9

103.281.6

113.691.5

103.597.692.496.582.0

106.096.9

107.8108.1

84.5

89.499.093.396.4

103.2102.5100.095.993.8

111.683.289.5

92.7109.0

85.7102.4113.5105.793.288.2

111.489.4

107.4121.5

115.0120.6119.4112.8106.3103.5104.4121.0114.597.492.1

115.2

2,1401,8301,7002,1302,0302,0701,9402,0101,9802,0201,9202,040

2,1201,7702,0102,1301,8401,7702,0101,8502,0301,7701,6701,940

2,0502,0501,7702,0102,0402,1002,1101,7201,6601,9501,9702,040

1,9702,1802,0601,8202,0301,7502,0602,0001,9602,1801,9602,000

1,8301,8901,6901,8601,9701,9402,0301,6801,7901,9501,7102,050

240.2227.3190.6246.5227.2239.2217,6226.8230.6227.5223.2229.4

238.2220.0225.5246.7206.1204.7226.3210.1238.0200.6218.9219.6

231.9256.6199.9234.5230.1244.6239.7195.2220.3220.9230.4230.7

225.3266.7235.9215.6232.9207.6238.9229.9233.0251.0233.4230.7

210.4240.8194.7221.6227.3231.4234.5194.2213.9225.6204.5237.4

NOTE Data in this table are for figures 7-12. These figures were previously published in the Morrfh/y Vital Statistics f?apoti on births, marriages, divorces, and deaths forMarch 1989, volume 38, number 3.

47

Table 3. Estimated number of deaths and death rates for Chronic obstructive pulmonary diseases and allied conditions, by specified age,sex, and year and month of occurrence: United States, January 1979-December 1989



Ferns/e Male Female Male Female Male


1979:JanuaryFebruary ..,.:::’”:’.,March ..,.,.April.......,,,:::::::May .,.,, ,,, .,. .,June . . . .July . . . . ,, ::::” ::’August. .,,,,.... .,, ,,September, . . . . . . . . . . .October, . . . .,, ..,,,November, . . . . . ,,.December, . ., ..,,,,

1980:JanuaryFebrua~, ..,.:::::::::March, . . . . . . . . . . . . .Aped, , ., . . . . . . . . . . . . .May, ,. ..,,.,June, . . . . . . . ,, :::::’July .,,..,,. ,. .,,,.,August. ,,.,,. ... ,.,,.September . . . . . . . . . . . .October . . . . . . . . .November .,,..... ::::December. , ,., ,.,,..

1981:January.February,,....:::::::’March .,.,,........,,,AwI. ,,, . . . . . . .May .,,,..,.....,,,,,June.July..::::’::.:::::::August, ,..,. .September,October. . ::.:”::::NovemberDecember .,.. ,, ::::””

1982:Janua~ . . . . . . . . . . . . . . .February ..,,,..March...,,,.....:::::April, ., .,, , . . . . . . . . . .May ..,,,,....,,,.,.,June, .,,,,.. ..,,,,July .,,......,...,,,,August, ,,, , ...,.,,,,,.September . . . . . . . . ,,,.October . . . . . . . . . . . . . . .November . . . .December, . . . . . . .

1983:January . . . . . . . . . . . . . . .FebruaryMarch...,::::::::.:::April . . . . . . . .May. . . . ,,,..June. ..,,,,......,,..July . . . . . . . . . . . . . . . . .August. .,, ,, . . . . . . . . . .September, . . . . . . . . . . . .October, . . . . . . . . . . . . . .November, . . . . . . . . . . . .December . . . . . . . . . . . . .

1984:January . . . . . . . . ..,..,FebruaryMarch.,..,,..,:::::::April . . . . . . . . . . . . . . . . .May ..,.,.,.,..,,.,,.June, .,.,.,,,.July, . ., .,,,....August, .,,.,,,.September.......:.:::”October. .,, , . . . . . . . . . .November .,,,....December .,,.. ..,::::

707080907070407080803020

8090509070

110507030905090

801501209090

11070

::7020

120

7070

::50907060409080

100

50

1%60

1%90

::30

110110

1007060507050

::70808040

*6,9*7.6*7,9*9.1*8.9*7 1*4 o‘7.0*8.3*6 O*3.1*2,0

‘8.0*9.6‘5.0*9.3“7.011,3*5.O*7,1“3.1*9.1*5.2“9.1

‘8.016.7120*9.3*9.O11.4*7.1*5.1*53‘7,1*2.112,2

‘7.1*7.8*8 1*4.2*5.1*9.4*7,1‘6.1*4.2*9.2*8.4

*1O.2

‘5,1*1O.1‘1 9.3

*6.3‘8.114,7*9.2‘6.1‘8.4*3.111.611.2

*1O,2*7,6*6,1*5.3‘7,1*5,3‘6.1“4,1*7 4*8 1*8.4*4 1

801201001407090809070608090

80180130110170110140120110150140150

160250110140

90120804080

10012050

11016010015011012010012016010040

110

9012015017014070

::7090

100120

701001301407090

150

2;:10070

120

*6,514.1

’10615.3“7.4*9.8*8.5*9.7*7.8*6.4‘8.8*9.6

‘6.620613,912,116,112,115013.012.316.215816.2

17,229.711.8155*9.6133*6.6*4.3*9 o

‘10.913.5*5.4

11.919.2

*1O.816.811913.4

*1 0.913.118.0

*10.9*4,511,9

*9.814,416.219.015.1‘7.8*6.5*6.5*7 8*9 7

*11.213.0

*7.6*11,6

14,115.7*7,6

‘10.1162*7.625.7

*1O.8*7.813.0

290260230220240190250270260250170230

220300370260270200300200200200270340

390340330260310280250240210210240240

320200410300240280290330210210240330

220270390320260250230290260330260340

340370400320320370310210280460240430

30.229.923,923624,920.325.827.827.625,718,023.6

22.632.937.927.527.821.130.620.421.020,328,334.5

39.438.033.327.131.229.125.224,221.821.124.924.1

32,122.241,131.024.028.929,033.121.721.024.832.9

21.929.838.832.925,925,722,929,026,632.926833.9

33.939.539.932.931.938.030.921.028946.024.842.9

470480460440340460420380410420410590

500500590440640410640400470400700600

530670490540550440440440480380590660

490410510510420610410440530420390530

690790550530570580480450400440540520

500510650720550530460440560420500450

55.562.754.253.540.055.949.244,549.549.049.468.7

58.462.368.852.962.849.274.246,456.346,383.869.3

61.085.456.464.163.152.150.550.656.943.869.975,6

56.151.958.380.247.971.846.750.162.347.845.860.2

78.399.162.362.064.567.754,250,946,749,763,05s.7

56.561.673.483.962.061.751.849.765.347.458.250.7

370470450450410300300330380270410480

550550410430510400420300380390460590

720900670710550460510530480510500460

390520700710600520620550530580470730

690790740740690660520560610560500660

780580720910740800630590580580530660

50.771.261.563.556.042,340,644.552.936.358.964.5

74.079.055.159.668.455.356.039.852.051.662.978.0

94.8131.186.196.472.262.466.769.164.666,367,262.4

50.674.790.795.077.669.579.970.570.171.662.193.2

88.1111.594.397.487.886,765,670.879.673.265.183.1

98.578.290.8

118.493.1

104.079.173.874.972.568.4

107.3

1,2001,0301,140

9401,100

6501,030

6801,0001,140

9401,140

1,1701,2101,2801,1301,1701,1101,4901,0101,0501,150

9501,310

1,5501,4001,5601,4301,3301,1301,2301,0801,1501,0001,0801,070

1,1201,1301,3001,4301,2201,2101,3901,0601,0901,2301,2101,000

1,4001,6201,3101,4401,4401,3301,3401,210

9701,0201,0801,400

1,3601,2501,6001,6001,5001,3301,2301,3601,1001,3001,3001,380

214.9204.1203.9173.5196.4156.6182.4154.9181,7200.3170,5199,9

205,5227.0224.4204.6204.8200.5259.0174.8187.6198.6169.4225,9

266.3266.2271.1253.4227.8199.9209.9183.6201.9169.7189.2181.3

189.6211.6219.8249.6205.9210.9233.5176,4187,2204.3207,5165,6

232.0297.0216.8246.0237.9226.8219.2197.0163.1165.6181.2227.2

221,2217,1259,8268,3243,2222.719S,2217,8181.9207.8214.5220.3

48

Table 3. Estimated number of deaths and death rates for Chronic obstructive pulmonary diseases and allied conditions, by specified age,sex, and year and month of occurrence: United States, January 1979-December 1989-Con.

[Data are provisional, estimated from a 10-percentsample of deaths. Rates on an annual basis per 100,000 estimated population for the specific month]

4S54 years 55-64 years 6S74 years

Female Male Female Male Femala Male


1985:January . . . . . . . . . . . . . . .Februaqf . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July. . . . . . . . . . . . . . . . .August, . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .



1988:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March, . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .&c~$bm~er . . . . . . . . . . . . .

Novemb&;::JjcJl::::::December . . . . . . . . . . . . .


140

1%130

1%190

906060

%

1%80809060

1%60607070

30

%120100120

80

::

1%80

110100100

60140506090808040

100

12040

13011070

13060

:8

::130

14,2‘1O.1

15,213.6‘8,114.619.2*9.1*6.3*6.1*6.3*9.1

‘4,012.3*8.O*8.3*9.O*6,2*SO

*1 0.0*6.2‘6,0‘7,2‘7.0

*3.O●7.7*6.912.3*9.912.3*7.9*5.9*5.1*5.911.1*7.8

10.6*1O.3

*9.6‘5.913.4*4.9*5.7‘8.5*7.8*7.5*3.9*9.4

11.2*4.112.110.5*6.512.4*7.4*6.3*8.5*5.5*7.511.8

70160

6060

11070

130

1::40

1::

130

1Q140110120110130

1%140

80

120100509090

%4090504040

1201209050

1%90

1%80

1%

10012019090

11070

1%120

%80

*7.519.0*6.4*8.911.8●7.814.0*7.5

‘11.1*4.3*9.913.9

13.9‘8.313.915.411.713.211.713.7*8.712.615.2‘8.4

12.6‘11.6

*5.3*9.8*9.4●6.5*7.3*4.2*9.7●5.2*4.3*4.1

12.313.1*9.1*5.2*8.113.5*9.O*8.O

*1 0.3*8.O*4. 111.9

*9.913.118.7‘9.110.7‘7.0*8.712.612.0*4.8‘7.0*7.7

43.750.633.846.140.634.834.826.037.226.036.138.9

34.947.447.828.831.833.934.023.231.240.336.438.2

44.242.257.241.542.134.235.429.327.130.228.141.2

47.937.061.249.631.741.224.641.035.030.837.227.8

46.266.047.342.839.228.732.038.331.038.332.140.5

600620690520550470540400440450540520

590550800450400460460500440430470440

470520430590500550500500400540490610

560560660640520460500490570530460540

470760660470440430460420390420420590

67.377.077.360.261.654.360.645.151.250.762.858.5

66.368.489.752.144.853.251.856.851.648.755.049.6

53.165.148.668.8:::

56.856.846.961.257.369.0

64.068.575.675.859.654.657.456.367.861.054.862.3

54,096.876.056.050.851.353.148.546.648.650.268.3

930990920680790700620580480800810720

890870

1,090790740830790730670670680810

1,060780

1,020930

1,040810750560660660750990

8701,1101,0901,030

880790960710880890860960

9801,3801,1701,1101,000

800840760670810750

1,060

115.6136.2114.2

87.297.989,676.671.461.098.2102.7

88.3

109.0117.9133.399.890.4

104.796.088.483.781.084.997.7

127.6104.1122.9115.7125.1100.689.766.981.478.792.4

117.9

103.7141.4129.7126.6104.6

96.9113.9

84.1107.6105.2104.9113.2

115.2179.3137.2134.4117.096.698.188.680.794.290.1

123.1

1,4701,4801,5901,3601,0901,2001,2101,010

9601,1201,2701,380

1,5101,7001,3601,4901,4101,2501,1701,1401,2601,1501,0601,300

1,4201,3401,5601,5101,3101,2701,0701,3001,1701,2601,2001,370

1,4401,4701,8301,4301,4101,3601,1801,2101,0701,2401,1501,450

1,5101,4801,3901,4601,2901,3201,2301,1301,0201,0701,0601,390

233.8260.5252.6223.1172.9196.6190.7157.9155,0174,8204.6215.0

235.1292.8211.5239.2218.9200.4180,1174.2198.8175.4170.1198.0

216.2225.7237.2237.0198.9199.1161.0195.5181.6189.1185.9205.3

215.6235.0243.4220.5210.3209.3175.4179,7163.9183.5175.6214.0

221.8240.4203.7220.8186.5199.0179.2164.4153.1155.1156.6200.9

NOTE: Data in this table are for figures 13–18, These figures were previously published in the Month/y Vita/Statistics Report on births, marriages, divorces, and deathsfor April 1989, volume 38, number 4.

49

Table 4. Estimated number of deaths anddeath rates for Accidents and adverse effects, Homicide andlegal intervention, and Suicide, formales and females aged 15–24 years, by year and month of occurrence: United States, January 1979-December 1989


Acctdents and adverse effects Homicide and legal intervention Su/c/de

Ferns/e Male Ferns/e Male Fema/e Male


1979:January . . . . . . . . . . ,.,February .,.,,,,..March.,..,,,..,..::’April . . . . .May . . . . . . ;;;;;.June . . . . . . . . . . . . . . ,,July ..,.....,August. .,,,,...,.,,,,,September, ...,.,,.,,,,October. . . . . . . . . . . . .November, .,,.,..,,December..,.....,,,::

1980:January, . . . . . . . . . . . . . .February . . . . . . . .March, .,.,.... .:::,April, , ., . . . . . . . . . . . . .May, ,, . . . . . . . . . . . . . .June, , ., . ., . .,,,,....July . . . . . . . . . . . . . . . . .August. , . . . . . . . . . . . . . .September . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December .,, . . . . . . . . . .

1981:January. . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March ., . . . . . . . . . . . . . .April . ., .,, . . . . . . . . . . .

May. ,,, . . . . . . . . . . . . .June. .,,..........,,,July, ,,, . . . . . . . . . . . . .August, , . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1982:January. . ., .,, ,, . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .Aprli, ., . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. . .,, . . . . . . . . . . .~c~$brrrber. . . . . . . . . . .

Novemb&;;:jjl:ln:;l:tDecember . . . . . . . . . . . . .

1983:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . ...’....April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October. . . . . . . . . . . . . . .November, . . . . . . . . . . . .December, . . . . . . . . . . . .

1984:January . . . . . . . . . . . . .February, . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May .,,...........,,.June. ,, . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August, , . . . . . . . . . . .September . ., . ...,,....October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

360310470360470370480380490500400430

340370330500400470480390360500430400

440260360410410380540510340520390350

290270370340340420480440380410300450

380320250380410310510340320390420350

330330380400310320460350390450360330

20.219226.320.628.321.426.920.228.428.023.224.1

19122,218526,922,327.126.922.121.028.225.022.5

24,716.220.223.722.922.030.529.120.129,623,019.9

16.517.021.019.919.324.627.525.522.623.717.926.0

22,020,514.422.623.618.429.620.119.523.025.620.6

19.520.822.424.318.219,427,321,024,227,022.319.8

1,2001,1701,4301,5701,7102,0801,9602,0001,6701,7901,4101,690

1,4301,2401,3401,2501,7702,2302,2102,3201,9001,7401,3001,480

1,0901,3701,1201,3901,7701,6501,9201,8701,4201,3801,4201,280

1,160900

1,0001,2201,5601,6501,6101,8301,2901,6401,4401,250

990640

1,110990

1,3001,7601,5801,7201,5301,380

990990

860710

1,0501,2001,3401,6601,5101,6901,6001,3601,4101,010

66.271.478,669.3941

116.11089110595.298.780.293.0

76.873,073,771,097.2

126,4121,8128,7108.896.374.381.8

60.083.561.678.997.293.5

106.2104.5

81,977,061,671,3

64.655.455.670.086.694.5

101.4104.075.793.184.470.8

56.052,662,657,873,4

102,690,599.791.679.959257.2

50.943.960.771.777.4

100.288.199.697.480.085.759,3

80

1!:70

;:

%90

120110110

1106090

110

1%11050

150110

1%

130110100130130150130

1::18011060

10013090

1%11090

1107080

130110

:!90709080

1%Ito

1::90

8012012090609090

1%16010090

*4.5‘4.36.2

“4.0*3,9*1,7*3.4*3,9‘5,26.76.46.1

6.2*3.6‘5.06.4

*4.57.56,2

*2.88.76.2

*5.29.6

7.36.8

*5.67.57.38,77,3

*5.1*5.910.36.5

*3.4

*5.78.2

*5.1*3,56,26.4

*5,16.4

*4.2*4.67.86.4

*2.9‘1.9*5.2‘4.2*5.2*4.8*3.5*5.96.7

*4.1‘6.1‘5.3

*4.77.67.1

*5.5*3.5*5.5*5.3*4.210.59.6

‘6.2‘5.4

320450480360380260430420460420580360

600270470340480440540670440380370410

420550350320410450350430450400350320

360430340410310320450390390420340410

380240280280340300330210360300320310

250320380210340320230440200300270230

17.627.526.421.620,915,923.623.226.223.133.019.8

33.115.925.919.326.424.929.837.225.221,021,122.7

23.133.519.318.222.525.519.424.026.022.320.117.8

20.026.518.923,517.218,325.222.222.923.819.923.2

21.515.015.816.319.217.518.912.221.517.419.117.9

14.519.822,012.519.619.113.425.912.217.716.413.5

%50

1008050607040507050

308070

%

1U12090

:8110

%304060

1%

1::

1%70

5080

100

1%

:814011020

1%

8090606060506040

%7070

50

11%100

1%90

%

::120

*3.4*4.3*2.8*5.6*4.5*2.9*3.4*3,9*2,3*2,8*4, 1*2.8

*1 .7*4.8*3.9*3.5*3.9‘4.0*5.66.8

*5.2*2,3*1.76.2

*3.4*3.7*1 .7*2.3*3.4*5.2

7.3*2.36.5

*I .76.5

*4.O

*2.8*5.O*5.7*4.76.2

*2.9*2.38.16,6

*I ,2*3.O6.4

*4.6*5.7*3.5*3.6*3.4*3.O*3.5*2.4*4.9*4.1*4.3‘4.1

*2.9*2.5*5.9*6.1‘1.8*6.1*5.3*3.6*3.1*3.O*3.17.2

390350360330290300260230350360280290

330290270320340320300400290440390400

390450470260330320400240270270430440

290320410410320400330240330330320360

380420330300250250270250300340340350

330280390430240260370380300350250270

21.521.419.818.815.917.(314.312.720.019.815,916.0

18,217,114.918.218.718.116.522.216.624.422.322.1

21,527.425.814.818.118.122,113.415.615.124.824.5

16.119.722.823.517.822.91a.513.619.418.718.720.4

21,526.318.717,514.114.615.514.517.919.720.320.2

19.117.322.625.713.815.521.622.418.320.615.215.9

Table 4. Estimated number of deaths and death rates for Accidents and adverse effects, Homicide and legal intervention, and Suicide, formales and females aged 15-24 years, by year and month of occurrence: United States, January 1979-December 1989-Con.


Accidents and adverse effects Homfcide and legal intervention .Wcide



1985:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .;. ; . . . . . . . . . . . . . . . .

June:::::::::::::::::July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September, . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1986:January . . . . . . . . . . . . . . .February, . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~$bmw . . . . . . . . . . . . .

Novemb;;;;;;l;l;;;;;;December . . . . . . . . . . . . .

1987:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .pcyt$$ar. . . . . . . . . . . . .

Novembk;;;;;;;;;;;I;;December . . . . . . . . . . . . .


1989:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~$b~~r . . . . . . . . . . . . .

Novembe;DI:Jl::l::lllDecember . . . . . . . . . . . . .

290200230300480510480440280260350350

340240310310470400600540440450330390

300300390320330370420450320410390270

320210350450440410450380360380480410

330350250440340370470340290260320360

17.313.213.718.428,631.328.828,717.615,821,921,2

20.616,118.719.328.424.936.633.428.127.821.024.0

16.520.424.020.320.323.528.128.020.525.425.016.7

20.214.222.229.528.027.028,724.323.924.431.926.4

21.225.016.229.522.124.930.622.219.617.021.723.6

940770940

1,1201,5901,3401,6101,5801,5001,1501,040

910

940840

1,0401,0101,3901,7001,6601,4901,4301,2201,1801,240

640880900

1,0101,3401,2201,7701,6801,390i ,2801,140

830

1,040790960980

1,3401,2901,5101,7001,2201,1401,0201,040

900830

1,040940950

1,0201,2901,5101,1401,1501,000

980

55.049,955.067.692.880.895.094.192.368.463.954.0

55.855.161.661.882.2

103.899.290.289.473.773.674.8

50.758.754.262.880.675.8

107.8102.3

87.377.671.550.3

64.352.359.562.983.483.294.4

106.579.271.766.465.7

56.758.065.861.660.367.182.396.475.373.666.262.9

%9060

140

1%12090804070

140

1;:806060

1;8130408080

40705070

::100

6070

1%50

401201208080

1i:12070

%50

50

1%70

150100

908090806090

*3.6*4.6*5.4*3.7

8.3*3.7

7.27.3

●5.6*4.9*2.5*4.2

8.5●4.7

6.6●5.O*3.6*3.7*4.37.48.3

*2.5*5.1*4.9

*2.5*4.8*3.1*4.4●3.7*3.2*6.2*3.7*4.5*5.O7.0

*3.1

*2.58.17.6

*5.2*5.1*4.610.27.7

*4.6*3.8●4.6‘3.2

*3.2‘3.67.1

*4.79.7

*6.7‘5.9*5.2*6.1*5.2‘4.1*5.9

19.314.918.717.514.017.521.820.917.817.815.317.8

23.118.415.417.718.329.329.329.719.426.024.316.9

16.318.718.716.223.526.720.125,618,220.715.123.0

26.629.818.022.517.424.523.132.617.522.022.825.9

25.222.426.019.723.522.427.431.929.725.625.830.2

*4.2*3.9*3.6*3.7*4.2*4.3*1.8*3.O●4.4*1.2*3.1*1.8

*1.27.46.6

●5.O*4.2*3.1*5.5*6.2*4.5*3.1*6.4*3.1

*4.98.2

*3.7*4.4*3.1*3.2*3.7*2.59.6

*4.3*3.6*3.7

*3.8*2.7*5.7*4.6*5.1*3.3*5.7*3.8●6.O*3.2*4.6*4.5

*6.4*2.1*5.2

8.0*5.2*6.7*3.9*6.5*1.4*5.2*4.1*2.O

13.523.325.726.620.414.525.412.516.016.020.922.0

24.921.720.122.621.922.618.512.123.115.118.713.3

18.125.422.321.821.713.019.515.817.615.221.322.4

21,620.522.324.419.913.518.778.815.617.622.822.7

27.121.722.119.022.221.717.221.716.516.622.527.0

NOTE: Data in this table are for figures 19-24. These figures were previously published in the Month/y Vita/ Sfatisfics Report on births, marriages, divorces, and deathsfor May 1989, volume 38, number 5.

51

Table5. Estimated number of deaths and death rates for Accidents and adverse effects, Chronic Iiverdisease andcirrhosis, and Suicide,for males and females aged 55-64 years, by year and month of occurrence: United States, January 1979-December 1989

[Data are provisional, estimated from a 10-percent sample of deaths, Rates on an annual basin per 100,000 estimated population for the specific month]

Accidents and adverse effects Chronic liver disease and cirrhosis Suicide

Female Male Ferns/e Male Female Male

Year and monthof occurrence Number Rate Numbar Rate Number Rate Number Rate Number Rate Number Rate

1979:January, . . . . . . . . .February, ., . ., ..,,,...March ...,.....,,,,..APdl . ., ., . . . . . . . . . . . .May . ., ., ..,,,....June, . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . .November . .,, ,, ..,...,December . . . . . . . . . . . . .

1980:January. .,,,... . . . .FebruaryMarch.,..,....:::::::April . . . . . . . . . . . . . . . . .May .,,,..,,.,....,,,June. .,...... . .July, ,,.,.August,,..,..::::,,:::September.October.,..,...,::::::November ., . ...,,,...December . .,, .,,,,..,,

1981:January. , ..,,,...,February,.,,,......:::March . ., . .,, . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June, ...,.........,,,July .,, , . . . . . . . . . . . . .August, , ...,..,...,,..September .,......,,,..October . . . . . . . . . . . . . . .November, ., . ...,,,...December . . . . . . . . . . . . .

1982:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . ., . .,, . . . . . . . . .April .,...,,,,.,...,..May . . . . . . . . . . . . . . . . .June, . .,, , . .,, . . . . . . .JuIv . . . . . . . . . . . . . . . . .August. ,,, , . . . . . . . . . . .September ..,..,.,.,,,,October, ..,,.....,,,,.November .,.....,,,,.December . .,, .,,,,,.,.

1983:January. .,...,,,..February, ,.. ,,.,.March ..,.,,April s...,,,,. :: ::::.:May, . . . . . . . . . . . . . . . .June. . . . . . . . . . . . ..,,July .,.. ...,,,August, , . . . . . . . . . . . . . .September.October, . . . . . ...’.”.:November .,... . . .December ,., ,,...

1984:January . . . . . . . . . ,,.,.FebruaryMarch.,,::”:::,::”:::April s . . . . . . . . . .May .,,.,,,,.,,,,,,June. , . .,, ...,.... ,:July .,, . . . . . . . . . .August. ,,,,.,,September.,.,,..:::::,October, ...,.,,..November .,,. ,., ,,::”December .,,,,. ,,,

260350230240110180250230110220240190

270260280220130270260250250240210170

330250300180230180230180190200210250

190290180190150190200210220180230290

120230190170210220250200140

90250180

230190280250200220170190130150240230

27,140.323.925.711.419.325823.711.722.625.419.5

27.728.528.723.313.328.526.525.526.324,422,017,2

33.428.030.318.823.218.723.218.119.820.121.825,1

19.132.218.019.615,019.620.021.022.718.023.728,9

12,025,418.917.520.922.624.920.014.4‘9.025.817,9

23,020,327,925.719.922,616919,013,415,024.822.9

690520700390510560390470500550470590

520540570640680550660550500640470520

680420470510490470460430430490530440

570550460430350410580430470470460520

470540480450440400550550460420410400

650430390460360400550580470460490520

81.567.982.547.560.068.045,755.060.464,256.668.7

60.767.366.477,079.166.076.563.859.974.156.260.1

78.353.554.060.656.355.752.849.451.056.262.850.4

65,269.652,550.739.948366,149.055.353.454.059.0

53.367.854.452.649.846,762162.353.747,447.845.1

73.551.944,053.640.646,662.065.554.651957.1586

310250160270230220200140220220200140

440250350290210200240290280160230350

300320310290290280190160320280280230

240190240220250200200200220230220250

370250240190240200300160190250190240

230240170170230270240260180190250270

32,228.818,729.023.823.620.614.423.422.621.214.3

45.227.435.930.721,521.124,529.529.418.324.135.5

30.335.831.330,229,229,119,116.133.328.229.123.1

24.121.124.022.825.020,620,020,022,723.022.724.9

36.927.623.919.523.920.529916,019,624,919,623,9

23.025,616.917.522.927.823,926.018.619.025.826.9

390470430500480490480460360590490490

590670560500510480490470480560500530

420530540360390480550480350500400360

430450390520470470430350540500460430

430470550500430320460390430440330450

460480420410430520310460470450490260

46.061.450.760.956.559.556.353.843.568.959.157.1

68.983.565.360.259.357,656,854.557.564.859.761.2

48.467.562.142.744.856.963,255,241.557.347.441.2

49.257.044.661.353.655.349.039.963,556,954.048.8

48.859.062.358.548.637.452.044.150.249.738,550.8

52.058.047.447.848.560.534.952.054.850.857.131.5

70

1::14090

1:890

%10090

8060906050

::704020

11050

%110100

1::507070905040

30406060

1:8

%1001106050

1%

%11080709070

1::90

70

1%

1::208070

::6020

*7.3*6,913,515.0*9.3*7.5

*1O,3*9.3*8.6*4.1

*10.6*9.2

*8.2*6.6*9.2*6.3*5.1*8.4‘3.1*7.1*4.2‘2.011.5*5.1

*8.1*3.411.1

*1 0.4‘6.012,5‘5.0*7.1*7.3*9.O*5.2*4.O

“3.0*4.4*6.O*6.2*8.O14.5*9.O‘5.0

*I 0,311,0*6.2*5.O

*5,0*11.O*8.O*9.210.9*8.2‘7.0‘9.0*7.2‘6,0

*10.3‘9,0

‘7.0*6.4

‘10,0*7.213.9*2.O*8.O‘7.0*7.2*3.O*6.2‘2.0

310170230150170170180220190250210260

310190280220270220200250200210160200

170240260220190200220110160130190170

190150170190150200290340250

2::260

200220170280170200390200190280200190

210170200190260320200260220230180220

36.622.227.118.220,020.621.125.722.929.225.330.3

36.223.732.626.531.426.423.229,023.924,319.123.1

19,630.629.926.121.623.725.312,619.014,922.519,5

21,719,019.422.417,123.633,138.729.4*1O,230,529.5

22.727,619,332.719.223.344.122.622.231.623,321.4

23.720.522.622.129.337,222,531.625,725.921.024.8

52

Table 5. Estimated number of deaths and death rates for Accidents and adverse effects, Chronic liver disease and cirrhosis, and Suicide,for males and females aged 55-64 years, by year and month of occurrence: United States, January 1979-December 1989-Con.


Accidents and adverse effects Chronic liver disease and cirrhosis Suicide




1986:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .S#$bgl. . . . . . . . . . . . .

Novemb;;::::l:lj:IjllDecember . . . . . . . . . . . . .

1987:January . . . . . . . . . . . . . . .Februar y . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August, . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1988:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .

~{{e;;:l:l;:l;;;;;:l;July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~kbmrber . . . . . . . . .

Novembe;l;;;;;;;;;;;;December . . . . . . . . . . . . .


130260140180210120210270220250190180

170170160160260210190190270190140230

170170240210260250170210130180250280

210260210250190180200140250190250300

210210300110120130150210190190190180

12.928.613.916.420.812.320.927.022.725.019.618.0

16.918.715.916.425.821.519.019.228.119.114.623.1

17.118.924.121.826.125.917.221.213.518.126.028.2

21.428.321.426.419.419.020.514.326.519.526.630.9

21.623,930.911.712,413,915,521,720.319,720,4‘18,7

440510470380500450500440470540570410

530480370410350400490520370440380470

320320460440440420500490320560460390

340450460400420460410410350340350360

.$40400490480440330380430410410410360

49.463.352.744.056.052.056.149.654.760.866.346.1

59.559.741.547.539.246.355.259.043.449.944,553.2

36.240.052.051.349.648.956.855.637.563.453.844.1

38.955,152,747.448,254.647.147,141,639.141,741.5

50.651.056.457.250.639.443.949.749.047.449.041.7

260150220180230290160210160

80180240

230240190130230150290130170240190140

320240240290230230230120170270140140

150280180180160180160160160240140150

160170150210160180160150240160170170

25.816.521.818.422.629.717.921.016.5‘8.018.623.9

22.926.518.913.422.915.429.013.117.724.219.814.1

32.226.724.130.123.123.823,212,117.727,214.614.1

15.330.518.419.016.419.016.416.417.024.714.915.4

16.419.315.422.416.519.216.515.525.718.618.217.6

540510470400410400480480450400460320

550440390410370410320410360400380320

5203503104202303905104403’30580320390

360360480410420340350300330310320440

480290370420330350290290340490400360

60.663.352.746.345.946.253.854.152.445.053.536.0

61.854.743.847.541.447.436.046.642.245.344.536.2

58.643.635.049.025.945.457.949.945.765.737.444.1

41.244.055.048.648.240.340.234.539235.736.150.7

55.236.942.650.038.141.833.533.540.656.747.841.7

4020

1::608060

1%110

8070

9012015090

x10040

%5080

709080502050

%3060

%

60

::

x70

1002070

1?:50

605090

1!:120

%30

1::30

*4.O*2.2*6.O

*1 0.2*5.9*8.2*6.O*6.O

‘10.311.0*8.2*7.O

‘9.013.214.9*9.2●6.9*9.2

*1 0.0*4.O*6.2*8.1*5.2*8.O

*7.O*1 0.0

*8.O*5.2*2.O*5.2*6.1*5.O*3.1*6,0*6.2*2.O

‘6.1‘6.5‘5.1*7.4*4. 1*7.4

“10.2‘2.0‘7.4*6.211.7*5.1

*6.2*5.7*9.3*8.511.312.8*8.3*4.1*3.2*3.1

*1O.7*3.1

200140260190180270240

2%290180240

180270250300190280160250170180240220

230280260260350230270280270190240240

180180200200200270210160300210160230

160210200130260230190200260310190160

22.417.429.122.020.131.226.9

*1O.132.632.620.927.0

20.233.626.034.721.332.418.028.419,920.426.124,9

26.035.029.430.339.526,830.731.831.621.526.127.1

20.622.022.923.722.932024.118,435724,219,126.5

18,426.723,015.532.327.421.923.131.135.922.718.5

NOTE: Data in this table are for figures 25–30. These figures were previously published in the Month/y Vital Statistics Report on births, marriages, divorces, and deathsfor June 1989, volume 38, number 6.

53

Table 6. Estimated number of deaths and death rates for Malignant neoplasms of digestive organs and peritoneum and Malignantneoplasm of breast, by specified age and sex and by year and month of occurrence: United States, January 1979-December 1989


Ma/ignant neopksms of dfgestwe organs and perttorteum

Ma//gnant neoplasm of breast,55–64 years 65–74 years female

Ferns/e Ma/a Fema/e Male 55-64 years 65–74 yaars

Yaar and monthof occurrence Number Rate Number Rate Number Rata Number Rate Number Rata Number Rate

1979:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March, . . . . . . . . . . . . . . .April, , ., . . . . . . . . . . . .May, . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August, . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . .December, . . . . . .

1980:January. . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April, . . . . . . . . . . . . . . . .May, . . . . . . . . . . . . . . . .June. . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. .,,, .September.,,.......:::October . . . . . . . . . . . .November, .,,.... .December . . . . . . . . . . . . .

1981:January, . . . . . . . . . . . . . .February . . . . . . . . . . .March,....,,.......::April . . . . . . . . . . . . . . . . .May.. ,..June.....,:::::::::::July . . . . . . . . . . . .August . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . .November..........:::December . . . . . . . . . . . . .

1982:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March .,.....,.....,..April, . . . . . . . . . . . . . . . .May, . . . . . . . . . . . . . . . .June . . . . . . . .July . . . . . . .::..::August.September. . . :’”:::::October.November ..:..’’.:::.:December

1983:January, . . . . . . .FebruaryMarch ..,....: .:,: .’April .,.,...May.. . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . .August........,,,,,::’:SeptemberOctober. . . ::’:”’.”’:.November . . . . . . . . . . . . .December

1984,January . . . . . . . . . . . . . . .FebruaryMarch, . . . . . . . . :.:”::April, ,.,.. . . . .May, ,,...June.July..:::::::::::::::August. ,, . . . . . . . . . . . . .September, . . . . .October.November,,,.:::::::::December, . . . . . . . . . . . .

690

790690880850700810700740680650680640

620650710680750700840880880640750710

620730800830700590790790740960660740

510800720670870770700790670630710630

750650640840820820850790730750750770

145.3125.499.0

140.0120.0144.6103.2134.6116.0135,5166,3102.6

14t.3143,4146,9148,0133,8130,9120,6121.8128,1138,9125,5115,5

117,4144,0140,3123,5125,1131.6116.0133.3130.5126.1133.8106.5

124.7135.4139.4122.7117.5141.3116.3152,7131.7114.8117.4147.6

127.1165,7132.51357118.8134.3131.1143.8127.41209114.3112.8

108.5117.11287128.2125.1128.0133.0124,3133,0127,5161,9139,7

1,0801,2301,1801,1901,2501,1201,1001,4201,2801,3701,4101,150

1,0801,4601,3201,1201,0301,1301,0901,3701,2001,4201,1301,470

1,2601,2601,4201,3201,1801,2601,2601,3301,3001,1801,0301,210

1,3201,2601,4801,2701,2301,1101,4601,3401,1201,3201,2201,180

1,2501,1201,2701,1201,2901,1401,4401,5101,3201,3201,2901,590

1,2601,1201,2601,4001,1101,2401,3801,2801,3301,1401,2501,150

147.9186.3161,4168.0170.6157.8149,0191.5178.1184,3195,8154,4

145,3209,8177,3155.3138,1156,3145,2181,7164,3188,0154,4194,3

165,9183,6186,7179,2154.9173.5164.8173.4175.0153.5138.4157.2

171.3180.9191.6170.0159.2148.3188.2171.8148.2168.9161.2150.7

159.5156.1161.9147.4164.2149.8182.2190.9172.2166,5168.0200.3

159.0151.0158,8182,2139.7161,2173,2160.21719142.4161.2143.4

890

880

680780810740590640720740710820660700

840620820750670590720750600710680760

790800880650850840720700950840680940

810740870880790690790720880840830900

790700810820870690860790940960

1,010730

860710910760800950930690740

1,030870720

93.1118.2110.8104.580.590.297.599.898.8

110.391.794.0

113.089.1

110.1104.0

89.881.695.999.582.294.092.9

103.1

104.0116.6115.7

88.2111.6113.9

94.291.3

127.8109.391.3

122,t

105,1106.3112,8117,8102.2

92.2101.6

92.3116.4107.5109.6115.0

100.898.8

103.2107.9110.7

90.7108.8

99.8122.7121.1131.6

92.0

106.595.7

114.798.9

100.7123.5116.7

86.495.6

128,7112.2

89,8

54

Table 6. Estimated number of deaths and death rates for Malignant neoplasms of digestive organs and peritoneum and Malignantneoplasm of breast, by specified age and sex and by year and month of occurrence: United States, January 1979–December 1989–Con.

[Data are provisional, estimated from a 10-percent sample of deaths, Rates on an annual basis per 100,000 estimated population for the specific month]

Malignant neoplasms of digestive organs and peritoneum

Malignant neoplasm of breast,55--64 years 6>74 years female

Female Male Female Male 55–64 years 65-74 years




1987:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .APhl . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1988:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September, . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1989:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .Se!Xember . . . . . . . . . . . . .October. . . . . . . . . . . . . . .November, . . . . . . . . . . . .December . . . . . . . . . . . . .

870610870810900800860820800610760690

710640780730850750910770690640630690

750730780720670700810700760670650610

670710630650840470560670700700660770

670610770660560500640510640640650590

86.567.186.483.089.281.965.782.182.761.078.468.8

70.870,677.675,084.577.091.077.771.964.565.569.4

75.481.278.374.667.272.481.870.779.267.567.661.4

68.277,464.368.685.949.757.368.774.271.970.279.3

68.869.479.370.357.853.s66.152.766.566.369.661.2

1,2501,0601,2001,2401,0201,0601,2201,080

980990

1,1001,100

1,3101,080

920990

1,1901,2201,0801,0401,0701,200

910940

1,1101,1401,1701,010

9401,1701,0901,1501,0901,190

9201,140

1,0101,030

8501,1101,0501,1301,0201,110

9301,3201,0501,260

1,120670

1,1201,0501,1901,1001,1601,080

8301,2001,0901,110

140.3131.8134.5143.5114.2122.5136.8121.9114.1111.5127.9123.7

147.2134.2103.2114.7133.3141.1121.6116.1125.4136.0106,5106,4

125,5142.7132.2117.8106.0136.3123.8130.5127.7134.8107.6128.9

115.5126.0

97.3131.5120.5134.0117.2127.6110.6152.0125.1145,3

128.8110,8129.0125.1137.3131.2134.0124.899.2

138.6130.4128.6

900840900810840750990770870870840940

910760870870820720980770860790860930

820750780620910800760650670920630810

800810670880760820910740720840760880

760880850

1,000750800960870570680710700

89.592.489.483.083.376.898.577.189.986.966.793.8

90.783.886.668.981.573.998.077.789.679.691.593.5

82.483.478.364.391.282.676.885.889.892.785.581.5

81.588.388.892.979.786.793.275.978.486.380.870.0

76.0100.2

87.5106.5

77,485.399.290.061.091.276.172.6

930630830990760600800830910960810

1,020

850890930970970800940810920940900830

960860780930

1,010770960900800880890910

960890

1,150980870730

1,000910890900940830

770930890870

115.6114.2103.0126.994.2

102.498.8

102.1115.6117.9102.7125.1

104.1120.6113.8122.5118.5100.9114.398.1

115.0113.6112.3100.2

115.8114.793.9

115.7121.595.6

114.6107.698.7

105.0109.6108.4

114.5 ~113,3136.9118.0103.4

89.6118.6107.8108.9108.4114.7

97.9

118.3127.4

96.2132.0100.6105.1105.1109.6

92,7108.2106.9101.0

NOTE: Data in this table are for figures 31–36. These figures were previously published in the Month/y Vita/ Statistics Report on births, marriages, divorces, and deathsforJuly1989, volume 38,number7.

55

Table 7. Estimated number of deaths and death rates for Diseases of heart, by specified age, sex, and year and month of occurrence:United States, January 1979-December 1989

[Data are provmonal, est!mated from a 10-percent sample of deaths. Rates on an annual basis per 100,000 estimated population for the specific month]

45–54 years 55-64 years 65–74 years



1979:January . . . . . . . . . . . . . .FebruaryMarch.,,,,:.::::::::’April .,..,,,,,,,.. .,,May . . . . . . . . . .June, . . . . . . . . ..,:::.July . . . . . . . . . .August . . . . . . . . .September, ,,, . . . . . . . . .October. . . ..,,November, ,,,.,..December,,,..,..,::::

1980:January, ,..,.February,.....::::’ .:March ..,.,......,,,..April, ,,, . . . . . . . . . . . . .May, ,, . . . . . . . . . . . . . .June, . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . .November .,, ,,, ..,...December .,, . . . . . . . . .

1981:January. ,,,..February,,....::::.:::March, ,,,...April, ,, ...,..::::::,:May, ,,,. ,,,June, ,,,,.. .,.,,July, ,, .,....,,., ,::August, . . . . . . . . . . . . . . .September.October,.....,::::”:::November . . . . . . . . . . . . .December . .,, ,, . . . . . .

1982:January . . . . . . . . . . . . . . .FebruaryMarch.,..,:::::.:::::April . ., .,, , . . . . . . . . . .May .,,,,.,,......,,,June. ,,, . . . . . . . . ,,,,July, . . . . . . . . . . . . . . . .August, . . . . . . . . . .September. .October . . . . . . . . . . ::::November . . . . . . . . . . . .December . . . . . . . . . . . . .

1983:January . . . . . . . . . . .February . .,, ,, .,......March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May .,, . . . . . . . .June. .,,..........,,,July .,.,..........,,,August, . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . .NovemberDecember .,.... ,,:::’

1984:January. ,..,,February,..,,,:::’.:::March . . . . . . . . . . . . . . . .April, . . . . . . . . . . . . . . . .May . . . . . . . . . . . .June, . ., . . . . . . . . . . . . .July .,,,...,.August.September; ::::.: “.,:::October, . . . . . . . . . . ,,NovemberDecember .,..::::::,: :

880900790750720740730670730760830870

9101,010

900880790770

1,120790730890590770

960940720780980690670790770730610890

810820840780660700810700700600750630

990670830850720840820820670920810700

710640830720620840680720660620760840

86.898.277,876,370,875,172467,175,577.985.666.8

90.9107.889.890.678.779.1

112.580.076.389.961.577,7

96.5104.672.380,898.271.488080.581.074,285.190.4

82,292,185.181.666.873.182.571.774061.379.184.7

100,975,664,589.473.288.283.683.970.894.085.471.4

72,669.984.775,963.268.469.373.569.663,280.085.5

2,9902,8602,6402,8902,3402,3802,5702,7202,0702,4002,5502,740

2,5102,6402,8802,6602,3902,3902,9402,7002,0202,5702,5002,900

2,9402,3602,8402,3002,9102,6402,3602,4002,3902,4102,3202,430

2,6702,3502,5302,5202,3102,4102,4602,3502,1502,4202,3102,330

2,5402,2202,6002,2802,4102,3602,2702,1201,8502,1202,3002,380

2,4002,4002,2702,2502,2802,2502,4902,1501,9202,1602,2902,340

287.2262.5279.5261.7255.1263.4251.8209.0247,8247,5258,7253.2

287.6294.0298.3263.5260.9255.6251.8261.7258,6275,4246,5323.6

298.2293.1286.7263.7298.4259.1282.1271.0251.7253.4240.9285,1

266.9261.9271.5259.6258.0253.0297.7233.4245.1264.0234.3259.5

286.3306,8263,0276.6222.8248.5304.0237.0234.3272.5237.0274.0

267.6235.7283.2293,5222.1232.4243,32483209,8255.8250.7248.4

1,873,71,959,91,675.61,645.01,647.81,560.91,540.81,470.21,501.11,690.11,753.61,837,7

1,870.81,906,11,876,31,763.51,753.91,586.01,543.61,609.71,550.91,639.31,676.11,741.6

1,962,41,992,31,611.91,722,11,666.81,607.91,577,21,408,01,595.61#557.91,599.71,692.7

1,918.31,672.51,666.81,722.91,583.41,587.71,636.41,489,21,453,21,644,11,622,01,712.8

1,744.71,921.21,672.81,733.91,536.41,555.61,603.01,271.91,508.31,553.91,520,41,715,4

1,816,51,613.81,663.01,697.11,561.51,568.91,398.71,40631,456.81,445.21,432.61.541.8

56

Table 7. Estimated number of deaths and death rates for Diseases of heart, by specified age, sex, and year and month of occurrence:United States, January 1979-December 1989– Con.





1985:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~$bmmer. . . . . . . . . . . . .

Novemb&; :::::::::::::December . . . . . . . . . . . . .

1986:January . . . . . . . . . . . . . . .F#U#y...... . . . . . . . .

April.::::::::::::::::May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1987:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~pbr$er . . . . . . . . . . . . .

Novemb;; :::::::::::::December . . . . . . . . . . . . .

1966:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1969:January . . . . . . . . . . . . . . .February, . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. .September:::::::::::::October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

277.7260.6228.9247.5240.4252.7225.6197.4218.2206.8241.0277.9

270.2241.1253.9232.4230.0243.0203.0191,2210.4205.5214,4181.0

203.0244.4219.6236.5229.7227.5205.1205.9211.5176.5196.3203.1

219.1225.9230.0197.1196.3186.5218.1209.5161.9172.6196.4209.4

194.4225.6210.1221,7160.8173,2177.9176,6155.1191.3190,3195.3

1,686.11,788.11,609.41,716.11,476.71,479.11,419.81,318.11,422.21,409.31,451.71,450.7

1,606.81,638.13,559.61,562.01,493.51,346.51,330.31,253.21,364.61,328.81,374.91,378.5

1,642.41,546.11,487.01,506.91,442.41,413.91,313.81,266.01,274.41,308.71,354.31,411.6

1,434.11,555.41,515.91,500.51,354.11,289.41,253.31,225.21,221.11,415.11,311.91,300.0

1,346.61,359.41,365.91,314.21,306.31,204.51,194.51,063.61,092.71,206.41,167.31,369.0

NOTE: Data in this table are for figures 37-42. These figures were previously published in the Monthly vital Statistics Repoti on births, marriages, divorces, and deathsfor August 1969, volume 38, number 8.

57

Table 8. Estimated number of deaths and death rates for Cerebrovascular diseases and Septicemia, by specified age, sex, and year andmonth of occurrence: United States, January 1979-December 1989


Cerebrovascular diseases Septicemia

55-64 years 65-74 years 75–84 years

Fema/e Male Fema/e Male Fen7a/e Male

Year and monthof occurrence Number Rate Number Rate Number Rate Number Rata Number Rate Number Rate

1979:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April ...,..,.....,.,,,May . . . . . . . . . . . . .,,June, . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September .,,,,..,,.,..October. .,, . . . . . . . . . . .November ..,,,.....,..December .,,,,.,...,..

1980:January . . . . . . . . . . . . . . .February . .,, , ..,..,...March . . . . . . . . . . . . . . . .April ..,..,...May...,,.....;;;;;June, ..,,July . . . .August. ,..September.October.......::.:::::November . . . . . . . . . . . . .December ...,.,.,.,,,,

1981:January, . . . . . . . . . . . . . .February, . . . . . . . . .March......,,.,,,,:::April, . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June, . . . . . . . . . . .July.....,..,,,,,,:::August. , ..,...,,. ..,,September. .October......,.,,,::’:November . . . . . . . . . . . .December, . . . . .

1982:January . . . . . . . . . . . . . . .February, . .,, ,, . . . . . . .March, ., .,,,,... ..,,April ...,.,,.......,,,May, ,, .,,,,,., ..,,.June . . . . .July . . . . .August..,,,,::’”:’:::,September .,, . . . . . . . .October. ,... ,,.,, ,,,November, , . . . . . . . . . . .December, , ..,.,.,.,,,

1983,January.February,,.,,::::”” :March, .,..April,,,,.....,::. ‘,:May, ,, .,...,.,,,,,,,June, ,..July.....::::::::::::August. ..,...,..,,,,..September . . . . . . . . . . . . .October . . . . . . ,,, ,,..,November . . . . . . . . . . . .December, .,...,. ,..,

1984:January . . . . . . ,,, ...,.February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . .May.....::::::::::::June . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . .,, ,, .,.,..,

610610580510510540390310470440460500

580570620460510520530390520570530610

750710690500470460400550420660410600

490430580450480550390370470460480620

560590510490330630650550610440430630

630640390460500440620460550420380440

63.570260.354752.957.840.231.949.945.248.851.3

59.662,563.648752,254,954,039.754.757,955,661.9

75.879.469.752.147.447.940.355.443.766.442,660.2

49,247.758.146.548.056.839.037148,646,049,561,9

55965.150.850.432.864.764.855.063.043.944.3628

62.96S.336.947.449.845.261.846.056.842.039.243.9

710810620820750540510600690560560660

750750750690650700510610550700540650

670700570620550620600540600690690740

620590630520530580560580470520590680

700700430530530610500400600530560540

780560700540600640600490540460560550

838105,673.199.888.365.659.870283.367.767.576.9

67.693.587,483,075,684.059,170.s65,961,064.575.1

77.189.265.573.663.173568.962.071.279.181.784.7

70,974,772.061.360.468.363.866.155.359.169,377.2

79.487848,762,059.971.256.545.370,159.965.360.9

88.267.679,062.967.674567.655.463.051.965261.9

1,4601,3801,3601,3501,3501,2601,3701,3301,1501,5601,5001,470

1,4401,5001,5001,5001,2401,3001,4801,4001,2201,5501,3701,350

1,7001,2601,6401,2401,4001,0101,1501,1801,3001,6001,4501,340

1,4701,4001,3701,2701,2501,1001,1601,1401,0801,4401,1001,310

1,3701,3001,3001,2901,3501,1101,2001.040

;050,120,290,270

,310,090,450,200,180,170,160

1;0001,1901,260

9901,450

199.9209.1186.0190.6184.3177.5185.6179.3160.0209.9208,3197,4

193,7215,5201.4207.9166,2179.9197.2185.7167.0205.2187.2178.4

223.91S3.6215.7168.4183.8136.9150.4153.9175.0208.2194.6174.1

190.8201,0177,6170.0161.8147,0149,5146,1142,9184,2145,3167,3

174.8183.6165.7169.6171.8145.9151.8131.4137.0141.3168.0160.0

165.4147.0182.8156.2146.5152.1146.1125.2153.8157.4127.7180.9

1,8001,5101,2401,3601,4701,3701,3901,3801,2401,2101,5301,480

1,6501,4701,6101,5301,4101,2201,1201,5601,3501,5201,4501,670

1,8301,6901,5501,4301,3201,3401,2801,2901,3601,3401,2201,540

1,5701,3501,4201,2901,6201,1101,3601,1201,3501,4301,3001,480

1,5801,3101,3801,2601,1901,1301,2901,440

9701,2101,1801,540

1,4701,4701,5201,7701,2801,2301,1101,1501,0801,1801,2501,380

322.4299.2221.7251.1262,4252.5246.2243,0225,3212.6277.5259.5

289.6275.8282.3277.0246.8220.4194.7270.0241.2262.6258.5288.0

314.5302.3266.0253.4226.1237.0218,5219,4238,7227,4213,8260,9

265.8252.8240.0225.2273.5193.4228,5186.4231.9237.5222,9245.4

261.8240.1228.3218.7196.6192.7211.0234.5163.1196.7196.0249.9

239.0255.4246.8296.6207.6205.9178.9184.2178.6188.8206.3220.3

130110100100110

1::120

1%160120

1;:90

1x120140

11:150

1:8

100160150110160120

1U110160160210

180140190130100200130130150190140

80

170220180160190160160190‘t90190210190

200230220170160150220200190190230350

32.530,4

*25.O*25.827.4

*1 8.0*24.729.4

*20.226,940.429.3

‘17.128.7

*2I .9*1 7.634.130.133.8

*1 6.744.335.7

*17.235.6

*23.741.935.526.937.829.2

*1 8.337.026.236.938.148.3

41,435,643,630,8

*22,947,429.529.335.042.832.6

*1 8.0

38.254.740.437.142.637.035.742.143.442.047.941.9

44.254.346.638.735.334.148.043.342.541.151.375.6

6016040

100

;:110

1%

1?:80

70

1%140

::12060

1%120110

14050

1%100120

%

2::110150

180180100160120

12:120130

1%150

200150130170120100190170260150140150

200160140150130150

1%220210150180

*25.274.5

*16,8*43,3*29,3*38.945.8

*37.247.0

‘20.646.9

‘33.0

*28,9*26.557.759.6

*32.9*21 .249.1

*24.3*37.6*40.450.044.4

56.3*22 .2‘20,158.0

*40, 149.6

‘23,8‘27,5

‘8.190.344,656.8

70.578.0

‘39.164.646.8

*16.146.346.051.4

‘30.643.457,2

76.363.349.566.845.6

*39.271,663,6

100.456,053,955,9

74,763.852,257,848,457.7

*33.258,482.976.556.465.5

58

Table 8. Estimated number of deaths and death rates for Cerebrovascular diseases and Septicemia, by specified age, sex, and year andmonth of occurrence: United States, January 1979-December 1989 –Con.

[Data are provisional, estimated from a 10-percent sample of deaths. Ratea on an annual basis per 100,000 estimated population for the specific month]


55–64 years 65-74 years 75-64 years

Female Ma/e Female Male Female Male


1985:January . . . . . . . . . . . . . . .~a;yhary . . . . . . . . . . . . . .



1987:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~~bt$er . . . . . . . . . . . . .

Novemb;; :::::::::::::December . . . . . . . . . . . . .

1988:January . . . . . . . . . . . . . . .~~:haty . . . . . . . . . . . . . .

April.::::::::::::::::May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October, . . . . . . . . . . . . . .November, . . . . . . . . . . . .December . . . . . . . . . . . . .

1989:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~~;;er . . . . . . . . . . . . .

November;:::::::::::::December . . . . . . . . . . . . .

460430500570430480410510430490470300

510410470420490290530420300590450400

570500620420400430410400370430380520

370370480530450430470290450510400410

350470410520500390290430340340420540

45.747.349.658.442.649.140.851.144.449.048.529.9

50.845.246.843.248.729.853.042.431.259.446.840.2

57.355.862.243.540.144.541.440.438.643.339.552.3

37.740.349.055.946.045.548.129.747.752.442.542.2

35.953.542.255.451.641.630.044.536.435.245.056.0

710660530630560570550690500410460600

670450460550640510460380450510580360

690550490440460350600570370410590380

610660560530560470450530360480420480

530480460460450430570560390500480450

79.782.059.472.962.765.961.777.958.246.253.567.5

75.355.951.663.771.759.051.643.252.757.667.940.7

78.06a.855.451.351.940.868.164.743.346.469.043.0

69.880.764.162.864.255.751.760.942.855.350.055.4

60.961.255.354.851.951.365.964.746.657.857.452.1

1,2001,3601,1801,3301,1901,1001,0501,1901,1101,1201,1701,210

1,3001,2901,2001,3401,3301,1001,0801,1501,3801,1801,0301,140

1,4001,1501,2201,1401,0401,1001,1101,2301,0101,2401,2101,120

1,3201,3201,3101,1301,1801,0801,2201,0101,0001,1401,0401,270

1,0801,1801,1101,0901,2001,0401,030

9701,020

9901,0201,310

149.2187.0146.5170.5147.5140.8129,7146.4141.0137.5148.3148.4

159.3174.8146.8169.3162.5138.7131.3139.2172.5142.6128.5137.6

168.8153.4146.9141.8125.1136.6132.8147.0124.6147.9149.0133.4

157.4168.1155.9138.9140.2132.5144.7119.7122.3134.8128.9149.8

126.9153.4130.2132.0140.4125.6120.2113.1122.8115.2122.5152.1

1,6301,4701,2501,4901,2201,1701,110

7701,1701,3101,0901,260

1,2901,1101,1601,2301,0301,0501,2101,0101,020

9401,3001,230

1,1901,1801,1701,160

990920

1,1301,070

9601,0701,2101,030

1,1901,2301,2201,1401,2501,1201,140

9201,1101,0801,270

950

1,0601,3201,2ao1,3101,1401,1101,030

970890

1,1301,0301,240

259.3258.7198.6244.4193.5191.6174.9120.4188.9204.4175.6196.3

200.8191.2180.4197.5159.9166.3186.3154.4160.9143.4204.7187.4

181.1198.7177.9182.1150.3144.2170.0160.9149.0160.6187.5154.3

178.1196.6182.2175.8186.4172.3169.5136.6170.1159.9194.0140.2

155.7214.4187.6198.1186.6167.3150.0141.1133.6163.8154.1179.3

240220220270180290280220240270230280

240320330260250250200240210370340260

330250230250250230370210300330310350

340350390260250330260260340240260240

240290280380270270240290220280210410

51.652.447.359.938.664.359.546.452.356.650.058.8

50.474.469.256.352.354.041.549.444.676.072.153.3

67.756.747.152.951.148.675.042.562.766.764.770.6

68.275.078.053.649.867.851.651.669.547.453.047.2

47.162.954.776.652.654.346.656.244.054.141.878.9

250200160170200230190220220140170240

270210240170290220140150230260140230

220220240190220150200270240300210280

240310230280150190240180230260310220

270210240210180240270140160230220280

90.680.257.963.672.385.968.077.980.449.562.084.7

95.281.984.561.8

102.079.848.751.681.789.249.678.8

75.483.482.167.175.252.967.591.083.5

101.073.094.1

80.0110.276.395.949.664.879.059.177.984.9

104.471.5

87.475.177.469.957.879.596.244.652.672.971.988.3

NOTE: Data in this table are for figures 43–48, These figures were previously published in the Month/y Vita/ Statistics Repoti on births, marriages, divorces, and deathsforSeptember 1989, volume 38, number 9.

59

Table 9. Estimated number of deaths and death rates for Motor vehicle accidents, by specified age, sex, and year and month ofoccurrence: United States, January 1979-December 1989


25-34 years 35–44 years 4%54 years


Year and monthof occurrence Number Rate Number Rate Number Rate Number Rate Numbar Rate Number Rate

1979:January . . . . . .February......::::::”:March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . .August. .,, , . . . . . . . . . . .September . . . . . . . . . . .October. ,,, . . . . . . . . . . .November, , ..,.....,,,December, ..,,.,,..,,,

1980:January. .,, . . . . . . . . . . .February . . . . . . . . . . . .March . . . . . . . . . . . . . . :April . . . . . . . . . . . . . . . . .Ivfay . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. . . . . . . . . . . . . . . .September, ,,, ..,......October. ,,, . . . . . . . . . . .November . . . . . . . . . . . . .December, ,..,. .,,,,,

1981:January . . . . . . . . . . . . . . .FebruaryMarch,.,,:::.:::::::,April ..,......May . . . . . . . . . . . . . . . . .June, . . . . . . . . . . . . . . . .July . . . . . . .August.September:.:: : :::”’”October, . . . . . . . . . . . . . .November, . . . . . . . . . . .December, ., ,,,

1982:January. . . . . . . .February,.,.....::.:::March, . . . . . . . . . . . . . . .April .,, ,, . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . .July .,, , . . . . . . . . . . . . .August, , .,.,.....,,,,.September . . . . . . . . . .October,..........,.:.November . . . . . . . . . . .December . . . . .

1983:January, . . . . . . . . . . . . . .February, ,,,,. ..,,,,,MarchApril.......::May, ,,.,. ., .,;,,,,June, . . . . . . . . . .July, ,,. . . . . . . . . . . . .August, . . . . .September..,......,.::October, . . . . . . . . . . . . . .November . . . . . . . . . . . . .December

1984:January,February...::::’::::::March . . . .Aprils,..,.........,,::May, ..,....,.,,,,,,.June, ,, . . . . . . . . . . . . . .July, ,,...August,......:::::::::September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December ..,..,...,,,.

100190160150150180190130170170230200

190270180I ao150180190170210240260170

140120100170270210190260270250160240

200150160140220230210210220280130220

220160200110180150240140150170110190

140

1?:170150120140160160180110130

*6.613.810.510.29.8

12.212.38.3

11.210.815.112.7

12.1la.411.411.89.5

11.811.910.513.414.816.510.4

8.68.1

*6.110.716.513.211.415.616.815,09.9

14.4

12.0999.6a.6

13.114212512,413415,37.9

12.9

12,910.411.76.7

1059.1

14.0819.09.86.8

10.9

a.1*5.66.3

10.1a.67.18.09.19.4

10.26.47,4

6105106905604ao600660810710790710670

550550540670a90720690800

1,030680680540

670640610620800630820780760660700670

5704505305305107207807207206405405ao

340490400480630540710760630590640560

470500440420700760790790770620650600

40.937.846.238.732.141.443.539.647.651.247.543.3

35.638.134.944.757.548.043,850.166.642.543.833.7

41.644,037.939.749,640.350.147.547.840.143.940.6

34.530.232.133.130.844.946.943044.438.233.334.6

20.232323829.537.433.141.944.437.934.438.532.6

27.431.125.625.240.745645,345.145,335.338.234.1

80

1:;110140

70

1%9090

1%

180

1%

1::100

70

1%15050

140

160

1%

1%

1T:190160150120110

9050709040

14012014010010070

130

206060

1?:70

1::

1%90

130

7070

13090

140180120130120140100100

*7.5*7.2*9.310.613,0*6.7*8.310.0*8.5*8.2*8.410,9

164*2,9‘9,1‘5.610.9*9,3*6.3‘7,114.713.3‘4.612.4

14.1*8.8*8.8*7.39.7

*6.49.6

16.214.112.710.5

9.3

*7.6*4.7*5.9*7.9*3.412.2

9.911.3*6.3‘8.1*5.810.5

*1.6*5.3●4.8*4.1

8.8●5.8*6.310.1*7.2‘7.7*7.210.0

*5.4‘5.810.1*7.210,8144

9.19.79.3

10.5*7,7*7,4

350260270290250310390360370370350410

240300I ao280250420270300320360370330

400430360320350320310350240390330400

280310320300200280390290250340350270

320200250290350200280290350360360300

2302903ao230320340400330400340350420

34.027.926.229.024.231.037.334.136.235.034.23a.7

22.730.317.027.323.540.825.227.730.533.235.230.4

36.743.633.030.332.030.228,130.921,934.330.035.2

24,630,128,127.217.525.333.224.321.628,430.222.5

26.718,420,824.929,117,122,823,329,028.829,a24.0

18.424a30.419.025.628.131.425.531.926.227.932.4

70

1%

1%30

110110140110

1%

10060

1%

1U

1%120100190150

17:

1Q708090

1%110

1::

505070ao

100

1%120409060

120

1002090

1:86050

100

1Q6050

80804070

:8ao80

::11070

*6.9*6.510.8‘9.110.8*3.O10.911.014.511.0‘3.115.0

*1O.O*8.5*5.O15.4‘7.0

*1O.3*9.O

*10.I12.5

*1O.I19.815.1

*7.O12.2*7.O15.5*7.O*6,2*9.1*8.111.611,2‘8.4

*1O.1

‘5.1*5.6*7.1*8.4

*1O.I*8.311.212.3‘4.2*9.2*6.312,2

‘10.2*2.3*9.2‘5,3

*1O.2*6.3*5.1

*10.2‘7.413,3*6.3*5.1

*8,2*8.7●4,1*7.4*8.1*8.4*8.1*8.2*9.5*3.111.6*7.1

220230210220240170210160230260250290

290250280300140380250290300250320320

3002ao2202002002901302601901ao270250

210140170190200250210140210260200230

240240140180200150190190260170180180

180210230190130190300270250210260240

23.326.922.224.025.318.522.317.225.527.827.631.0

31.02a.629.933.114.941.826.931.433.527.035.734.5

32.233,323.622.221,432.114.028.321.419,530.327.1

22.816.818.421.221.627.922.815.323.628.322.525.0

26.028.815.220.121.616.820.620.629.218.420.119,5

19.524.324.921.314.121.232.529.32a.o22.729.025.9

60

Table 9. Estimated number of deaths and death rates for Motor vehicle accidents, by specified age, sex, year, and month of occurrence:United States, January 1979-December 1989– Con.

[Data are provisional, estimated from a 10-percentsample of deaths. Rates on an annual basis per 100,000 estimated population for the specific month]



Year and monthof occurrence Number Rate Number Rate Number Rate Number Rate Number Rate Number Rata

1985:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May. . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .

:W&:::: ::::::::::~c~$b~~er . . . . . . . . . . . . .

November;:::::::::::::December . . . . . . . . . . . . .


1967:January . . . . . . . . . . . . . . .F$#cyy . . . . . . . . . . . . . .

April.::::::::::::::::May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~~b~~er . . . . . . . . . . . . .

Novemb;; :::::::::::::December . . . . . . . . . . . . .

1968:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~~bmmer . . . . . . . . . . . . .

November;:::::::::::::December, . . . . . . . . . . . .

1989:January . . . . . . . . . . . . . . .February, . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .Ajxil . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

170150140150140160160160170190150170

200160210140260220260240190200210110

160210250220

90150230240160120240230

210210210190150190200190220260200180

130

2?:240190190230220280270210220

9.69.47.98.77.9

10,56.96.99.6

10,66.69.4

11,19.6

11.66.0

14.412,614.313.210.811.011.96.0

6.712.713.712.4*4.96.4

12.513.0

9.06.5

13.412.5

11.412.211.410.7

6.110.610.810.312.314.111.2

9.7

7.0‘5.414.513.310.210.512.411.615.514.511.711.8

460370480610610600710570710600410430

460300470690630710940670600740590570

540430450700620700790660740690630640

510550600670650690750630740760630650

560570560620560560590700720510640650

26.123,227.235.634.535.039.831.840.933.423.623.9

25.518.426.139.546.040.651.736.845.340.633.431.2

29.526.024.639.533.839.442.935.841.537.435.234.6

27.731.932.537.535.238.640.534.041.341.035.135.1

30.133.930.134.430.131.031.637.539.927.435.534.9

140

1%160100120120140180

1::90

130120160

1%

1%170160

1%90

130120100100

1%

1::

1%160210

120110

1::140110130230150170120170

100

1::13070

120130150130220140180

10.4*4.18.2

12.3*7.49.2

1H13.3*5.O10.4*6.4

9.3

1?:*6.6*7.1*4.49.8

11.811.4‘4.110.7*6.2

8.99.1

*6.9*7.1*6.26.5

*4,710.8*6.3

1;:?14.2

8.07.9

*5.310.39.37.58.6

15.210.211.1

1::1

*6.5*5.O8.48.6

*4.57.98.39.58.5

13.9

1?:

310220340270310420440310330320330210

320180310290400320350400250460340370

300260340330340380350370390320350330

370270450390380450350280460320370310

360300290320480430310300300300380350

23.816.726.121.423.733.233.123.025.223.725.215.5

23.614.722.822.029.424.325.328.518.432.725.026.3

21.320.424.124.124.127.824.425.728.022.225.122.9

25.519.830.827.525.931.623.818.932.121.525.620.7

23.922.019.221.831.529.120.219.520.119.425.322.5

2070so607090

1%70

1:;80

13020

::110100

1%

::

1::

607080

i%

1%140110100120110

1?:

%

%140

1::170

1%

70

1%130110150100

1%90

1%

*2.O*7.8*8.1●6.3●7.1●9.4*2.O11.1*7.3*5.O15.6*6.1

13.1●2.2*6.O●5.211.0

*1 0.4*7.O

*1 0.0*6.2*8.9*9,214.9

*6.O*7.7*7.9●6.114.9*5.110.813.811.2*9.812.210.6

*7.711.3*8.7*5.O*7.7*6.913.3*7.6●9.816.0*7.813.2

*6.5*9.313.012.510.214.3*9.2*7.311.4*8.2*8.510.0

14.0*1 0.721.526.616.118.822.620.425.5

*1 0.731.018.2

27.818.923.516.517.022.020.223.222.923.233.730.5

23.117.522.121.721.020.632.320.820.428.027.915.5

16.415.319.317.620.230.220.119.012.425.926.725.8

22.730.515.719.220.522.221.421.329.026.124.926.0

NOTE: Data in this table are for figures 49-54. These figures were previously published in the Monthly Vital Statistics Report on births, marriages, divorces, and deathsfor October 1989, volume 38, number 10.

61

Table 10. Estimated number of deaths and death rates for Malignant neoplasms of genital organs and Pneumonia and influenza, byspecified age, sex, and year and month of occurrence: United States, January 1979-December 1989

[Data are provisional, estimated from a 10-percent sample of deaths Rates on an annual basis per 100,000 estimated population for the specific month]

Pneumon/a and influenza

Mahgnant neoplasms of genital organs,male 55–64 years 65-74 years

55-64 years 65-74 years Female Male Fema/e Male


1979:January, . . . . . . . . . . . . . .FebruaryMarch,...:::::::::::Aped . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .&c~$bmrber . . . . . . . . . . .

November’::.::::::::::December .,,......

1980:January.February...,,::::::::”March . . . . . . . . . . . . .APHI. . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1981:January . . . . . . .February.......,::::::March ., . . . . . . . . . . . . . .Apdl, . . . . . . . . . . . . . . . .May, . . . . . . . . . . . . . . .June, . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August.September;:::::::::::::October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1982:January . . . . . . . . . . . . . . .February, , . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June. . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . .August.September.::::::::::::October . . . . . . . . . . . . . . .November, . . . . . . . . . . . .December . . . . . . . . . . . . .

1983:January . . . . . . . . . . . . . . .February ..,...March . . . . . . . .April..,..,,......::::May. . . . . . . . .June...July, ..., . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . .October.November.,,:::.:::”::December .,, ,, .,......

1984:JanuaryFebruary.....:::::::::March..APrilMay,...:. ‘;;;;;June. , . . . . . . . . . . . . . . .July . . . . . . . . . . ,..August......,..,....::September . . . . . . . . . . .OctoberNovember..:..::::December.

170190170150140170240140140180230140

180140200190230130220170160240170150

250150280210140230160190150230180200

270180280230240190180250240160180210

220140200170150150230180200190160230

250230130280220100280190120220240250

20.124.820 018.216.520.628.116.416.921.027.716.3

21.017.523.322.926.815.625.519,719,227,820,3173

28.819,129.924,916,127.318,421.817.826421.322.9

30.922.832.027.127.422.420.528.528.218.221.123.8

24.917.622.719.917.017.526.020.423.421.518.725.9

28.327,874.732,624,8

*11,631,621,514024828.028,2

580690650450600490580610590780550600

700590590620590460610640450680620610

440630640570730550520520730730460530

750500640610570690790690700610610740

640680720520670720550610540690570650

510700630580660610710640670670470840

103.9136,7116.2

83.1107.190.3

102.7107.4107.2137.099.7

105.2

123.0110.7103.4112.3103.383.1

106.0110.8

80.4117.5110.5105.2

75,6119.8109,8101,0125,197,388.888,4

128,1123,9

80,689.8

127.093.6

108.2106.5

96.2120.2132.7114.8120.2101.3104.6122.7

106.0124.6119.188.8

110.7122890.099.390.8

112195,7

105.5

82.9121,6102,3

97.3107.0102,1114.4102.5110,8107,1

77.6134.1

90

1%110120

608050409070

100

120180140120100709070

120160130150

*9.4‘8.117.711.812.4*6.4*8.3●5.1*4.2*9.2*7.4

*1O.2

12.319.714.312.7

*1 0.2*7.4*9.2*7.112.616,313,615,2

26,313.413.1

*1O.4*1O,1

14,613.1‘8.011.411.1*5,2‘9.0

14.013.313.0*5.214.013.4‘7.0‘6.0*6.2‘8.0*7.214.0

18.921.012.911.3‘5.0*9.2*8.O11.0*8.213.012.4*5.O

22,013,916.0*5. 1

‘10.0*4, 1‘7.0‘5.0*8.3‘9,0

*103‘9.0

200

23.637.925.925.516.523.114.124.615.726.916.932.6

19.833.742,031.325.6*8.413.9

*11.626.320.817,934.7

48.445.931.023.720.720.120.724.120.229.830.828.6

26.330.434.318.923.914.117.136.517.623.923.523.8

24,931.429,423,418,116,315,815,825.727.715,222.6

31.633.828.232.624.822.123.722.617.520.326.819.1

31025023025019018070

160210180230270

350

62

Table 10. Estimated number of deaths and death rates for Malignant neoplasms of genital organs and Pneumonia and influenza, byspecified age, sex, and year and month of occurrence: United States, January 1979-December 1989-Con.


Pneumonia and influenza

Malignant neoplasms of genital organs,male 55–64 years 65–74 years

55-64 years 65–74 years Female Male Female Male


1985:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .J&L. . . . . . . . . . . . . . . .

June:::::::::::::::::July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~$bmrber . . . . . . . . . . . . .

November”:::::::::::::December . . . . . . . . . . . . .


1987:January . . . . . . . . . . . . . . .F&:ciry . . . . . . . . . . . . . .




340120190220110180160180130130180260

170270220190100220220220190180180250

190190240210170120160280240140240210

210230180180260270310190140210190200

320240240200210290270260240270220270

38.214.921.325.512.320.817.920.315.114.620.929,2

19,133,624.7220

*11,225.424.825.022.320.421.128.3

21.523.827.124.519.214.018.231.628.115.928.123.7

24.028.120.621.332.132.035.621.816.624.222.623.1

36.630.627.623,824,234.631,230.028,731.226,331,3

640660690770640680700490830710610750

760620760700750670830690560890660710

690710700890700540710640770730620670

720800690720590740950950790690650760

550640710620750760690650660620850910

101.8116.1109.6126.3101.5111.4110,376,6

134,0110.8

98.3116.9

118.3106.6121.3112.4116.4139.5127.8105.4

66.4135.8103.9108.1

105.0119.6106.4139.7106.384.6

106.896.2

110.2109.6

96.1130.4

107.8127.9103.0111,066.0

113,9141,2141.1121.0102,1

99.3112.1

80.8103.9104.093.8

109.6114.6100.594.599.189.9

127.2131.5

160190210150100

80110

8090

1%150

17017012080

2%9050

1%50

100

190120170120150100110120

%

1;:

110120290100140

1T:

1%19014090

160130140140

8060

1%

1;:130140

15.920.920.915.4*9.9*8.210.9*8.O*9.3‘8.013.415.0

16.918.711.9*6.2*5.O21.5*9.O*5.O*9.417.1*5.2

*1O.1

19.113.317.112.415.0

*1 0.311.112.1*6.3*9.1*7.311.1

11.213.129.6

*1 0.614.3*7.411.3*6.212.719.514.9●9.3

16.414.814.414.9*8.2*8.5*6.214.5*7.517.613.914.5

240350310250140160290130160210160290

150340300220340110150170i 50150200280

400260230200180120210100140210160230

290270190270210170240200140180230270

300240240290200130140160180140150220

26.943.534.726.915.718.532.514.718.623.618.632.6

16.842.233.725.538.112.716.919.317.617.023.431.7

45.232.526.023.320.314.023.8

‘11.416.423.821.026.0

33.233.021.732.024.120.227.623.016.620.727.431.1

34.530.627.634.523.115.516.220.821.516.217.925.5

560410490440280190170220270220250260

410450400340330330180310300340330230

440420450350290270190240270270390320

440430530390220290260270250260230400

430460530350350240210260220290130370

69.656.460.656.434.724.321.027.134.327.031.731.9

50.261.048.942.940.341.621.937.537.541.141.227.6

53.156.054.243.534.933.522.728.733.332.248.036.1

52.554.863.147.926.135.630.832.030.630.728.147.2

50.559.862.242.441.029.024.530.326.533.715.643.0

470560620470430430440420400430510530

670770560570480460590330370410480520

700500550580470410410530480450390460

650640800570630530360470530340520630

670640640650510500360340380390550610

74.898.598.577.168.270.469.365.764.667.162.282.6

104.3132.687.191.574.573.790.850.456.462.575.679.2

106.584.283.691.071.464.361.779.774.567.560.468.9

97.3134.3119.5

87.993.981.553.569.881.250.379.493.0

98.4103.993.698.374.575.452.449.557,056.582.388.2

NOTE: Data in this table are for figures 55-60. These figures were prewously published in the Monthly Vital Statistics Reporf on births, marriages, divorces, and deathsfor November 1989, volume 38, number 11.

63

Table 11. Estimated number of deaths and death rates for Malignant neoplasms of genital organs and Diabetes mellitus, by specified ageand sex, and year and month of occurrence: United States, January 1979-December 1989

[Data are provisional, est!mated from a 10-percent sample of deaths, Rates on an annual basis per 100,000 estimated population for the specific month]

Diabetes me//itus

Ma/ignant neop/asms of genifa/ organs,female 55–64 yaars 65–74 years

55-64 yaars 65-74 years Fema/e Male Fema/e Male

Year and monthof occurrence Number Rate Number Rate Number Rate Number Rate Number Rata Number Rate

1979:January . . . . . . . . . . .February, . . . . . . . . . .March,.,.......,,,,:.April .,.,.......,,,,..May .,, . . . . . . . . . . . . . .June .,, . . . . . . . . . . . . . .July, ., . . . . . . . . . . . . . .August, , . . . . . . . . . . . . . .September. .October.........,,::::November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1980:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .Apr i l . ., ., ., . . . . . . . .May . . . . . . . . .June,.........::’::::July . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September.October......,,,::::::November . . . . . . . . . . . .December . . . . . . . . . . . . .

1981:January . . . . . . . . . . . . . .February . . . . . . . . .March..,.,,,,,.,,.:::April . . . . . . . . . . . . . . . . .May ...,.....June . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. .,, , . . . . . . . . . . .September, . . . . . . . . . . . .October. ,,, . . . . . . . . . . .November, ,...,..December, . . . . . . . . . . . .

1982:Janua~ . . . . . . . . . . . . . . .February, . . . . . . . . . . . . .March, ,, ..,......,,,,April, . . . . . . . . . . .May,...........,,:::June, ,, . . . . . . . . . . . . . .July, . . . . . . . . . . . . . . . .August, ...,..,..,,,,..September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December, . . . . . . . . . . . .

1983:January . . . . . . . . . . . . .FebruaryMarch.....,,,::::::::April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . .June . . . . . . . . .July..........:: ::::August.September;:::::’:::::::October, . . . . . . . . .November . . . . . . . . . . ,,December . . . . .,,.

1984:January . . . . . .February..,,.,::”::::.March .,..,...April . . . . . . . . . . . . . . . . .May . . . . . . . . . . .,,June, . . . . . . . . . .July...,,.,......:. :August. ,,, ...,....September, , ..,.....:.’October. ,,, . . . .November . . . . . . . . . . .December, . . . . . . . . . . . .

380400390350370420530470310510460500

420520400500470450510460460440420430

470800570230380470440470640470420450

400420410520400480470490390380440330

490450420420390280430560500440410450

430330500380370380490510600410340450

39.546.040.537.538.445.054.748.432.952.448.851.3

43.157.041.052.948.147.552.046,848.344,744.143.6

47.567.157.524,038.348,944,347,466.647,343,645.2

40.146.641.153.640.049.647,049,140,338.045.432.9

46.949.741.843.238.828.742.656.051.643.942,244.8

42,935.249,939136,839,148951.162041.035144,9

410550470470510470520520410540460470

550600590510510580600560480520570550

420530580590420590500490520580470570

600590480580610470570590510570570610

600620640610570520630410600520520590

500440450600480460520640620520650670

56283364.366.369.666.270,470,157,172.663,963.1

74.086.279.270.768.480.279.974.365.768.877.972.7

55.377.276,380.155.180.065.463.970.075.563.174.0

77.964.762,277,678,962,873,575,667.572,975.377.9

76.667.581.680.372.568.379,751,878,365.667.774.3

63.159.356.776.160.459.865.380.180.165.083.683.6

270200240160260190220150250220200280

250260160190300200240240180270210270

360410210220320220250220270280280290

200290200210280290220300270230210280

190240310220270250180170290250220260

290300390270200250210270250250300260

28.123.024.919,327.020,322,715,426,622.621.228.7

25.728.516.420.130.721.124.524.418.927.422.027.4

36.445.921.222.932.222.925.222.228.128.229.129.1

20,132.220,021,728.029,922.030.027.923.021.727.9

18.926.530.922.826.825.717.917.029.924.922.725.9

28.932.038.927.819.925.720.927.025.825.030925.9

310250270210300210140190180200170160

150270270270180160160200230270230310

290200260260180170220190210310250290

210260190270170160300170240180190210

310200190270180190230180240210210220

200180280220200230170250260200150230

36.632.731.825.535.325.516.422.219,323.320.516.6

17.533.731.532.520.919.218.523.227.531.327.535.8

33.425.529.930.920.720.125.321.824.935.529.633.2

24.032.921.731.619.418.634.219,428,220.522.323.8

35.225.121.531.620.422.226.020.428.023.724.524.8

22.621.731.625.822.526.819.228.332.722.617.525.9

390500370340380410400340520380440690

520550390480450320490420440470450370

540480390440460590370520420570390520

400520500450550360410330290490

%:

510530570680540540470430460590420490

550470490560510480420450380540420440

53.475.650.648.051.957.854.245,872,451.161.179.2

69.979.052.466.560.344.365.355.760.262.261.546.9

71.169.951.359.760.480.046.467.656.574.252.467.5

51.974.764.880.271.248.152.842.336.462.758.160.0

65.174,872.669.568.771.059,554.360.074.454.761.7

69.463.461.872.964.262.452.756.349.167.554.254.9

66.373.362.655.450.084.567.335.247,268.549.050.8

88.575.063.157,970,061.466.048.553.660.478.469.0

60.188.461.869.166.858.464,957.842.159.463.183.0

54.265.550.748.947.354.055.446.355.046.556.671,3

58.066.062.966.647,958,060.550.557.255,372,268.2

63.455,673,160,451.970.351.644.847.957.561.167.0

64

Table 11. Estimated number of deaths and death rates for Malignant neoplasms of genital organs and Diabetes mellitus, by specified ageand sex, and year and month of occurrence: United States, January 1979-December 1989-Con.


L7iabefes rne//itus

Mahgriant rreop/asms of gerufal organs,female 55-64 years 65–74 yeara

55-64 years 65-74 years Fema/e Male Female Male



1986:January . . . . . . . . . . . . . . .Februa~ . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c~~b~~er.............

Novembe;jJ:I:::j:l:llDecember . . . . . . . . . . . . .

1987:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .8e~$bmbar . . . . . . . . . . . . .

Novemb6;::uuIJJIR::::December . . . . . . . . . . . . .

1988:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .~c:pbfl)ar . . . . . . . . . . . . .

Novemb&;II:IJI:l::I;IDecember . . . . . . . . . . . . .


380480390340

420360340360470360320440440490460500

310450500

400380490

380380530270410250340340440290310390

380430460460430360400260220340450440

520290320340290240430290270330400360

290270420450370320460380440400480460

460510570420500430440370420400310430

540500480380510450420410490390450660

60.475.773.175.568.259.063.040.635.553.172.568.6

61.049.949.854.645.038.566.244.342.650.363.054.8

44.145.563.970.656.250.269.257.166.360.074.468.9

68.981.585.164.874.666.265.454.964.359.247.363.4

79.381.270.357.574.567.861.259.673.556.567.395.4

NOTE: Data in this table are for figures 61–66. These figures were previously published in the Monthly Vital Statistics RepoR on births, marriages, divorces, and deathsfor December 1989, volume 38, number 12

65

Table 12. Estimated number of deaths and death rates for Accidents and adverse effects, Suicide, and Homicide and legal Intervention,for males and females aged 25-34 years, by year and month of occurrence: United States, January 1979-December 1989

[Data are provisional, estimated from a 10-percent sample of deaths, Ratea on an annual basis per 100,000 estimated population for the specific month]

Accidents and adverse effects Suicide Homicide and legal intervention

Fema/e Male Fema/e Male Female Male

Year and month Number Rate Number Rafe Number Rate Number Rate Number Rate Number Rate

1979:JanuaryFebrua~,,,:”:,j.’”:March, ,,,April .,,,,May .,, ,.;;I”.111,1”June. .,, , . . . . . . . . .July .,,,.... .,, ,,August, ,September.,:::::,,::October, .November,.:::: ;::,December, , ...,,,,,.

1980:January, .,,..,.,..,,.February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . .May, . . . . . . . . . . . .June . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August, ,, ..,,,.....,,,September . . . . . . . . . . . . .October, . . . . ,,.November . . . . . . . ,,..December ,,.,.

1981:January. ,..,,Februay....,,j:::::l,March . ., . . . . . . . . . . . . .April . . . . . . . . . .~ay, . . . . . . . . . . . . . . . .Juries, . .,, , . .,, . . . . . .July .,,,..,,.,....,,,August. ,, ...,,.....,,,September, . . . . .October,November . . . . . . . . . . . . IDecember . . . . . . . . . . . .

1982:January. . ., .,, . . . . . . . .February ., . .,, ,. ..,.,.March .,, .,, ,,, .,,,.,,APfll ..,,....,..,..,..May..,June,.,,;;”;’;;; ;;;;July . . . . . . . . . . . . . . . . .August. ,,, . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . .December . . . . . . .

1983:January. ..,..,,February......,,:.:::March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June. . .,, . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. ,, . . . . . . . . . . . . .September . . . . . . . . . . . . .October, . . . . . . . . . . ,,.November . . . . . . . . .December, . . . . . . . .::;

1984:January. .,,..,.February .,.,.,,March......,,..;;;;;;April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .Juries . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August. .,, , . . . . . . . . . . .September, , . . . . . . . . . . .October. ,,, . . . . . . . . . . .November, . . . . . . . . . . . .December, . . . . . . . . . ,,

180320220230250280260210230230300300

290390270210250260310360310290290290

230290210230380300290310360300270370

270210330180310330360310260340230310

270280250150320270360250270240180340

240200160190230180240260250240210150

11923.314515616419.016.813415.214.619.719,1

18.526,517,213.615917,019,422.219717.918417,8

14.119,612,614.523.216.917.518.622316.016.722.2

16.213.919.711,118,520.321.418.315.920.014.018.2

15.918.214.79,1

18,816.321.014.516.113,910719.6

13.912.39.2

11.313210,713.714,814,713.612.3

8.5

910970

1,020970940

1,0801,140

9701,0701,1301,0801,130

880890900

1,1401,2301,4201,3101,3801,6001,0801,000

880

1,0301,0201,010

9701,2201,0901,4801,3801,1801,1301,2201,210

1,010960690930930

1,1201,2901,3001,1701,070

980950

660810870920

1,0701,0201,3601,2401,1701,0401,020

940

670830860760

1,2201,3501,2701,4401,2201,0401,100

920

61.072.068.367,162.674,575,183,071.773,272.273.1

57.061.658.276,179,494,683,286,4

103,467.564.554.9

64.070.162.762.175,669,790.484.074.168.676,573.4

61.264,453.958.156269,977,677,772.263.960.456,6

39.353.351.756.563.562,580,272470,560.661.354.7

50.751.750.146.970.981.072.982.171.659,264,652,3

f%70707070

E150

1::110

508060

11016012019013011010011070

9090

140130120120100120

1%120140

11040

120120100130110130120110

1‘%

11080

1::110

90100

90150110120

80

60

1%1301309080

11011011050

110

*3.9‘4.4*4,6*4.7*4.6‘4.7*5.2‘5.79.9

*3.29.97.0

*3.2*5,4‘3,87,2

10,27.9

11.98.07.0

‘6.27.0

*4.3

●5.5*6, 18.68,27.37.6

*6.O7.2

*5.67.27.48.4

6.6*2.67,27.4

‘6.08.06.57.77.36.5

*3.66.5

6.5*5.2*5.39.1

‘:::*5.8*5.29.06.37.2

*4.6

*4.6*3.76.17.77.5

‘5.3●4.66.26.56,2

*2,96.2

350300410540340280390360400440410300

310400440270320390310390370430310430

340370460320360380470330530400320430

380380410420450470300440390320300360

380480380540370340350400440430390460

510400440480370460340330420400430510

23.522,327,437.322.719.325.723.426.828.527.419.4

20,127.728.518.020.626.019.724.423.926.920.026.8

21.125,428.520.522.324.328.720.133.324.320.126.1

23,025.524.826,227.229.318.026.324.119.118.521.4

22.631.622,633.122.020.820.623.326.525.023.526.8

29.724.925.628.621.527.619.518.824.722,825.329,0

1%7070

1407080

1%150

1;:

809080

160110140

1::140

60110120

13014013012019080

1::130

90160

80

12010018090

1%130

1::90

1::

1%140140140

1%130150100

17:

90908080

1::14013060

%160

“2.08.0

*4.6*4.7

‘::;*5.2*3.2*6,69.5

*4,67.6

‘5.1‘6.1*5.110.57.09.2

*3.111.7

8.9*3,77.07.4

8.0

%

1;::*5.O*3.68.48.1

*5.49.9

*4.8

7.2*6.610.7*5.5*2.46.87.7

*4.77.9

*5.3*4.37.6

*5.3*6.5

8.28.58.2

*1 .87.67.59.0

*5.6‘3.06.3

*5.2*5.6*4.6*4,8‘2,98.98,07.4

*3.5*5.1*4.19.1

440410370370420370490500540350450460

450450520360460480450550580520650440

440570620450350410390450570480470630

510540410500410310530460460500400580

480310280350520360480340440550290420

380380360380330330450480400380400410

29.530.424.825.628.125.532.332.536,222,730.129.7

29.231.133.625.429.732.028.634.437.532.541,927,4

27.339.238.528.621.726.223.627.435.829.229.538,2

30.936.224.831.224.819.331.927.528.429.824.634.6

28,620.416,621.530.922.128.319.826.532.017.424.4

22.123,720,922,819,219,825.827.423.521.623.523.3

66

Table 12. Estimated number of deaths and death rates for Accidents and adverse effects, Suicide, and Homicide and legal intervention,for males and females aged 25-34 years, by year and month of occurrence: United States, January 1979-December 1989-Con.


Accidents and adverse effects Suicide Homicide and /ega/ intervention

Fema/e Ma/e Female Male Female Male

Year and month Number Rate Number Rate Number Rate Number Rate Number Rate Number Rate

1985:January . . . . . . . . . . . . . . .Februar y . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .

1986:January . . . . . . . . . . . . . . .paycary . . . . . . . . . . . . . .

April.::::::::::::::::May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .&~~rnner . . . . . . . . . . . . .

Novemb&;l:l:lllIuIucIDecember . . . . . . . . . . . . .

1987:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .APHI. . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December . . . . . . . . . . . . .


1989:January . . . . . . . . . . . . . . .February . . . . . . . . . . . . . .March . . . . . . . . . . . . . . . .April . . . . . . . . . . . . . . . . .May . . . . . . . . . . . . . . . . .June . . . . . . . . . . . . . . . . .July . . . . . . . . . . . . . . . . .August . . . . . . . . . . . . . . . .September . . . . . . . . . . . . .October . . . . . . . . . . . . . . .November . . . . . . . . . . . . .December, . . . . . . . . . . . .

250190240230210250280250280250210230

290240320210320280360350260280270220

220260310280130260330370210240380300

250280270270230210320250270390270280

190190380340250260290350330330260320

14.111.913.513.411.814.515.713.916.113.912.112.8

16.114.717.712.017.716.020.919.214.715.415.312.0

12.015.716.915.8

1Hi17.920.111.813.021.316.2

13.616.314.715.112.511.717.313.515.121.115.114.0

10.211.320.518.913.414.415.618.818.317.714.417.2

760780860

1,130960

1,1401,290

9601,2001,010

820780

800680850

1,1401,2501,1701,5501,2901,3501,050

910910

800750810

1,070980

1,1501,4601,2801,2701,040

9901,000

820840980

1,0701,0301,0801,3301,0801,3201,080

9101,090

950880910920950

1,0001,1101,0801,100

9401,0301,010

43.047.648.766.054.266.572.453.669.158.247.143.4

44.441.847.165.369.266.985.370.876.557.551.549.8

43.745.444.260.353.564.879.369.571.256.455.454.1

44.548.753.159.955.860.471.956.473.758.350.858.8

51.152.448.951.151.055.559.557.961.050.457.154.2

8040

11080509090

%120120190

70100

1%120

90

1%100

1%60

80

1%110110130

1i?)1301409040

1101301008050

1%150

60

::80

9090

1%70

1;811014011014090

*4.5*2.56.2

*4.6*2.8‘5.2‘5.0*4.5*5.2

:::10.5

*3.9*6.1*3.3

6.36.6

*5.1●4.97.1

*5.7*4.4

*:::

*4.4*5.4

6.06.26.07.3

*3.8*5.4

7.37.6

*5.O*2.2

:::●5.4*4.5*2.7●6.O

8.78.1

*3.4●3.2●4.5●4.3

●4.8*5.4●4.87.8

*3.8*3.9

6.45.97.85.97.8

*4.8

330460440560450410350500380550360490

410420510530320440450520480

340340460580520410450470280330340410

550460470350470530430440450390400360

400480480450450410570400440380430500

18.728.824.932.725.423.919.627.921.930.620.727.2

22.825.828.330.417.725.224.828.627.219.223.819.7

18.620.625.132.728.423.124.425.515.717.919.022.2

29.826.725.519.625.429.623.223a25.121.122.319.4

21.528.625.825.024.222.730.621.524.420.423.826.8

60

1%110110

50120130150100100

80

15060

1%80

1%110120190110100

1301302001001101401001601601608080

150

1u100160170110

1%80

1%

120

1%

1::

1%140150120110140

*3.4*5.66.56.46.2*2.9

%8.6*5.6*5.7*4.4

8.3*3.7*4.46.9*4.4*5.16.66.06.810.46.2*5.5

7.17.910.9●5.66.07.9*5.48.79.08.7*4.5*4.3

8.1*4.17.0*5.68.7

H*4.97.3*4.3*5.O6.5

6.5*5.47.5*3.98.1*5.O6.47.58.36.56.17.5

350440390360150510440440510320450390

370360380380380460590570540440410370

340410280360410430490420430420420410

490480470380480380390570520500470400

470450410420550460540470440460610460

19.827.622.121.0

2::;24.724.529.417.825.921.7

20.522.121.121.821.026.332.531.330.624.123.220.2

i8.624.815.320.322.424.226.622.824.122.723.522.2

26.627.825.521.326.021.221.130.829.027.026.221.6

25.326.822.023.329.525.529.025.224.424.733.824.7

NOTE: Data in this table are for figures 67-72. These figures were previously published in the Month/y Vita/ Statistics Repofi on births, marriages, divorces, and deathsfor January 1990, volume 39, number 1.

67

Table 13. Selected statistics and model parameters for the first year’s topics from the Mortality Surveillance System, Month/y Vhal .9afisficsReport, volume 38, number 2–volume 39, number 1: United States, January 1979-December 1989

[Rates on an annual basis per 100,000 estimated population m specified group. Monthly data are provisional, estimated from a 10-percent sample of deaths, Averagemonthly sample size IS based on the number of deaths (n the sample for the years 1979–87]

A// causes

.$5-54 years 55-64 years 65-74 years

!/0/ 38, No, 2Februay 1989 Female Male Female Male Female Male

Ftnal 1987 death rateAverage monthly sample sizeEstimated coefficients of

model parameters:Intercept (pvalue)f(p-value), .,,..,., .1”t2 (p-value), ,, . . .C(pvalue) ,,, ,.S (p-value)

Ady.!sted R2, .,, ,;””

359,8378

644,2651

9003897

1,624.61,485

2,062,61,611

3,617.82,315

415 8758(0.0001)-0.4761(0.1241)

0.0008(0.7634)15,2905(0.0001 )9.5324(0.0064)0.4347

774.461 5(0,0001 )-O 8660(0 0536)-O 0047(0,2426)24 3176(0,0001)

7.8661(0.1149)O 6277

889.3042(0.0001)1.6114(0.0012)

-0.0147(0,0011)42.8251 (0.0001)25,3636(0.0001)

0.4640

,808,5683(0.0001–0.9001 (0.2734 1–0.0096(0.1990)89.7915(0.000145,5484(0.0001 {

0,6722

2,025.3454(0.00012.81 69(0.0068 )

-0.0236(0.01 18)138.5929(0.0001

80.3449(0.0001 I0.6525

3,959.9750(0,0001)2.6198(0.1510)

–0.0608(0,0003)249.1014 0,0001)

[144.2122 0.0001)0.7377

1

Malignant neoplasms of respiratory and intrathoracic organs

35-44 years 45–54 years 55–64 years

Vo/. 38. No. 3March 1989 Female Male Female Male Fema/e Male

Final 1987 death rate 6.0 9.4Average monthly sample size I ~

35.58

68.7 97.613

230.935 68

Estimated coefficients of84 I 93

model parameters:Intercept (pvalue) 6 8465(0.0001) 14 1385(0 0001)t (p-value)

34.4156(0 0001)–0,01 15(0,1 194)

76.6107(0.0001)-0091 9(0.01 29) 0.0233(0 2241)

69.3387(0.0001) 215,5401(0.0001)0.1506(0.1569) 0.4110(0.0011) 0.3427(0.0808)

~2(p.val~e),,::::”:”:::. 0,0005(0.1533)C(pvalue) . . .

,.. -0.0029(0.0035) -0.0013(0.2486) -0.0025(0.1509).,.

S (p-value), ., ., . . . . . . . .. . ,.. . . . . . .

Adjusted R2 ,, ...,.. .,.

o,oi3i 0.1602. . .

0,0046 0.2764. . .

0.4211 0.0199

Chrome obstructive pulmonary diseases and alljed conditions

45-54 years 55–64 years 65-74 years

Vo/. 38. No. 4Aprd 7989 Ferns/e 1 Male 1 Fema/e Ma/e Female Male

Final 1987 death rate 88 9.7Average monthly sample size I ; :

37,1 59.1 102.08 10 31

200.251

Estimated coefficients of64 125

model parameters:Intercept (pvalue). 1.8938(0.0001) 2,3047(0.0001) 24.0044(0.0001)t(pvaiue) 0.0021 (O0889) 0.0092(0.0409) 0.1387(0.0001)@ (p-value) .,... ., ...1 -0.0001 (0.0057)C(pvalue) .,..,,, ‘:

5$%;$%% 5:”ZW%!I 18!%%%::],.. –0.0021(0.0406) .,.

0 0685(0.1676) 3.7938(0.0001)=::$:::]] ;:;:23(0.0001

-0.0092(0.0003)

S (p-value) 0.1932(0.0005) 0.1382(0.0062)Adjusted R2 . . . . . ..,:;: 0.1071

3 8170(0.0001)0.1704 0.5025 0.2469 ti70;V”oooll ::$;51(0.000,’

46(0.0001)0.4826

15–24 years

Accidents and adverse effects Homicide and legal intervention Suicide

Vo/. 38, No. 5May 1969 Female Male Fema/e 1 Male Fema/el Male

Final 1987 death rateAverage monthly sample sizeEstimated coeticients of

model parameters:

23.238

741138

6.09

21.936

4,37

21,333

24.4406(0 0001 )-0.0793(0.0799)

0.0007(0,0998)-3.0551(0.0001)-1.2678(0,0128)

0.2846

97.6432(0 0001 )-0.5642(0.0001)

0.0033(0 0004)-21.4623(0.0001)

-::$;::(O.OOO1)

1,5495(0,0001)O 0082(0 0506)

-0,0001 (0,01 50)-0.0077(0 8676)-~.~~LHWj(O.0583)

I26.5014 0.0001)–0.2156 0,0001 )

0.0015 0.0017)-1,2064 (0,0437)-0.9403(0,1156)

0,1930

1.2657(0.00010.0011 (0.4137 1

18,0087(0.0001)0.0441 (0.3008)

–0.0003(0.41 20)1.761 9(0.00031.0664(0.02630.1307

1

Intercept (pvalue)t(pvalue)tz(p.value), ,,. .:::C(pvalue) ,.S (p-value)

Adjusted R2 ~ :

. . .

-0.0031

68

Table 13. Selected statistics and model parameters for the first year’s topics from the Mortality Surveillance System, h70rrth/y Vital StafiaticsReport, volume 38, number 2-voiume 39, number 1: United States, January 1979-December 1989-Con.

[Rates on an annual basis per 100,000 estimated population in specified group. Monthly data are provisional, estimated from a 10-percent sample of deaths. Averagemonthly sample size is based on the number of deaths in the sample for the years 1979-87]

55–64 years

Acc!dents and adverse effects Chronic liver disease and cirrho.sk Suicide

VO/. 38, No. 6June 1989 Female Male Female Male Fema/el Male

Final 1987 death rate . . .Average monthly sample size .Estimated coefhcients of

model parameters: .Intercept (pvalue) . .t(pvalue) . . . . . . . . . . . . . .f2(pvalue) . . . . . . . . . . . . .C(pvalue) . . . . . . . . . . . . .S (&value) . . . . . . . . . . . . .

Adjusted R2 . . . . . . . . . . . . . .

20.s21

25.5991 (0.0001)-0.1563(0.0124)

0.0011 (0.0474)1,2691 (0.0659)0.5249(0.4452)0,0885

52148

67.3770(0.0001)-0.3147(0.0027)

0.0014(0.1246)1.4226(0.2134)

–J:;WJ~(0.3681)

19.423

26.4149(0.0001)-0.0432(0.5203)-0.0002(0.7662)

2.0152(0.0079)1.3731 (0.0687)0.1715

46.445

59.7823(0.0001)-0.1740(0.0870)

[0.0003 0.7039)1.47650.1 902)0.1596(0.8673)0.2041

7.77

1.9878(0.0001)0.0001 (0.9844)

(0.0000 0.6721)

-0.0465 0.4533)0.1 153(0.0660)0.0280

26.622

3:%%!:4I0.0012 0.0739)

-0.4914 0.5468)0.9039 0.2703)0.0308

Malignant neoplasms of digest;ve Malignant neoplasmorgans and peritoneum of breast

55–64 years 65-74 years 55+4 years 65-74 years

Vol. 38, No. 7A@ 1989 Female Male Female Ma/e Female Female

Final 1987 death rate . . . 73.0 125.9 158.3 262.7 80.7 108.3Average monthly sample size 73 111 126 162 79 82Estimated coefficients of

model parameters:Intercept (pvalue) . . . . . . 73.0167(0.0001) 129.3344(0.0001) 169.2094(0.0001

I272.9161 (0.0001) 73.6590(0.0001)

t(pvalue) . . . . . . . . . . . . . . 0.1338(0.2307) 0.0566(0.7272) -0,0179(0.9293 0.1626(0.5688) 0.2763(0.0050) ‘:=K%$J~2(pvalue)............. -0.0013(0.1996) -0.0011 (0.4736) -0.0008(0.6763) -0.0029(0.2635) -0.001 9(0.0307) -0.0016(0.1669)C(pvalue) . . . . . . . . . . . . . .,.S (p-value) . . . . . . . . . . . . .

. . . . . . . . . .

Adjusted R2 . . . . . . . . . . . . . .,..

0.0037. .

-0.0029. . . . . .

0.0185 0.0313 0.0978 0.1027

Diseases of heart

45–54 years 55-64 years 65-74 years

Vol. 38, No. 8August 1989 Female Male Female Male Female Male

Final 1987 death rate . 70.3 214.8 240,0 598.6 705.3 1,388.6Average monthly sample size 76 233 251 589 590 945Estimated coefficients of

model parameters:Intercept (p-value) . . 83.7204(0.0001) 2t(pvalue) . . . . . . . . . . . . . .f2 (p-value) . . . . . . . . . . . . .C(pvalue) . . . . . . . . . . . . .S(pvalue) . . . . . . . . . . . . .

Adjusted R2 . . . . . . . . . . . . . .

-0.0170(0.6892)-0.0013(0.2269)

3.1908(0.0205)1.8371 (0.2315)0.2373

86.3706(0.0001)-0.2984(0.1 856)-0.0043(0.0367)11.3724 (0.0001)l~:::~(o.OOO1)

263.3423(0.0001)0.2264(0.3303)

-0.0050(0.020513.3338(0.0001 {

9.2472(0.0006)0.3997

759,2128(0.0001)-1.0124(0.0196)–0.0055(0.1563)40.7262 0.0001)

[27.8789 0.0001)0.7650

792.6197(0.0001)0.3862(0.4296)

-0.01 24(0.0058)67.0378(0.00014:;l.:;(o.0001 1

1,693.9414(0.0001)0.0207(0.9813)

H

-0.02970.0003128.50680.000179.68780.0001

0.8179


5564 years 65-74 years 75-84 years

VO/. 38, NO. 9September 1989 Female Male Female Male Female Malel

Final 1987 death rate . . , 45.5 59.7 140.6 178.1 60.1 77.1Average monthly sample size . 49 56 127 131 19 15Estimated coefficients of

model parameters:Intercept (pvalue) . . . . . 54.8393(0.000 1) 80.5816(0.0001)t(pvalue) . . . . . . . . . . . . . . -0.0219(0.8356) -0.2727(0.0223)t2(p+a[ue) . . . . . . . . . . . . . -0.0008(0.4071) 0.0004(0.7144)

‘%%gg~;~ 2~~~&&] 240376[0.oooI

C(pvalue) . . . . . . . . . . . . . 4.6293(0.000 1) 5.5560(0.0001 ) 1:%%%?{ =(:”%:!S(pvalue) . . . . . . . . . . . . . 1.7436(0.1400)

0.2769(00087] tif!~wj

2.7835(0.0362) i1422[o”oo6j 37417(0.00,5:.:::;(0.1457) :::%7:1 ~~~!$=l0:00S0 0:8685Adjusted R2 . . . . . . . . . . . . . . 0.2326 0.4393 0.7413 “ 0.6646 “ 0.4159

69

Table 13. Selected statistics and model parameters for the first year’s topics from the Mortality Surveillance System, Month/y Vital .%sfisticsReport, volume 38, number 2-volume 39, number 1: United States, January 1979-December 1989–Con.

[Rates on an annual basis per 100,000 estimated population m specified group. Monthly data are provisional, estimated from a 10-percent sample of deaths. Averagemonthly sample size IS based on the number of deaths In the sample for the years 1979–87]

Motor vehicle accidents

25–34 years 35–44 years 45–54 years

Vol. 38, No, 10October 1989 Fen7a/e Ma/e Fema/e Male Female Male

Final 1987 death rate 115 368Average monthly sample sdze

9.318

25.663

9.211

21.832


model parameters:Intercept (pvalue) 12.6982(00001 ) 46,8625(0,0001) 9.7872(0.0001)f (pvalue) -0.0639(0 0494)

32.8005(0.0001)O 2813(0.0001)

11 ,0200(0.0001) 28.2280(0.0001)-0.0404(0.2472)

tz(pvalue). ,,,–0.1585(0,0077)

O 0004(0.1 859)–0.0986(0.0142)

0.0016(0,0106)-0.1455(0.0308)

C (pvalue)0.0003(0,3759) 0.0007(0.1799 0.0009(0,1520)

%!%%1 -Hg$w:l–0.4985(0 1661) –6,4080(0,0001)

S(pvalue), . . . . ““:::-0.5037(0.1943)

-061 43(0 0897)-0.8421 (0.1969

-3 0565(0 0001 ) -~: W;~(0,0165)Adjusted R2 ,, .,.,,

-1.8331 (0.00580.0806 0.5451 0.2508 0.0720 “

Mahgnant neop/esms of genifa/ organs Pneumonia and inf/uenza

55-64 years 65–74 years 55–64 years 65–74 years

b’o/ 38, )/0. 71November 1989 Male Male Fema/el Male Fema/e Male

Final 1987 death rateAverage monthly sample sizeEsttmated coefficients of

model parameters:Intercept (pvalue)t(pvalue) . . . . . . . . . . .fz(p.value), ,, . . . . . . . . . .C(pvalue) ..,,,,..,.,S(pvalue) ..,.,...

Adjusted R2, . .

24.419

22,4813(0 0001)

.,.

0,0000

111.165

108,0741(0.0001).

.,.

0.0000

12.211

2,2698(0.00010.0009(0.84060.0000(0.9959 /0.2756(0.00010.1495(0.0030 )0.2563

23.721

23,8070(0.0001 )

[0.0567 0,4739)

-0.0006 0.4195)6.5668(0,0001)2.7076(0,0027)0,3689

38.827

31 ,4794(0,00010.021 9(0.83300.0007(0.4623 I9.5432(0.00016.4801 (0.0001 I0.4938

79.345

//69.15550.0001

0.14810.4011-0.0006 0.6850)

‘:i$’w:%:l0.4282

Mahgnant neop/asms of genita/ organs Diabetes me//itus

55–64 years 65–74 years 55–64 years 65–74 years

Vol. 38, No, 12December 1989 Fema/e Female Female Male Female Male

Final 1967 death rate 40.2 70,1 25,7 28.2Average monthly sample size 43

59.755 25

62.822

Estimated coethcients of47 36

model parameters:Intercept (p-value) 46.01 25(0.0001 )f(waiue) . . . . . . . ...:::

70.9835(0.0001)2~f~~{~”~~;;] ::5472(0.0001)

6t .1555(0.0001

1]W!ggj -R#%&

0.0163(0.8574) .0967 (0.1642)–0,001 1 0:0625);[;:;;:] ::::’:’:::::: -0.0007(0.3637) 0.0009(0.1441)

S(pvalue) . . . . . . . . . . . ..,, 1.881 9(0.0083) 2.9728(0.0002) 5:9446(0.0001

0.8580(0.2237) 1Adjusted R2 . . . . . . . . . .

.,.o.058i 0.0000

0.1994(0.7961) 2,9216 (0.0250.0825 0.1112 0.1925 0.1320

25-34 years

Acc!dents and adverse effects Suicide Homicide and legal intervention

Vo/, 39, No. 1Januery 1990 Female Male Female Male Female Male

Final 1967 death rate 16,3 604 5.9 24.8Average monthly sample size 27 107

6,9 23.310 41


model Parameters:Intercept (pvalue) . . 18.8316(0.0001) 74.9564(0 0001) 6,0391(0.0001) 23.9823(0,0001)t(pvalue), ,., . . . . -0.0637(0 0379) -0.2664(0.0043)

6.4719(0.0001)0.0215(0.3244)

1

32.2105 0,0001)

/2 (p-value) 0.0004(0.2457)0.0333(0.5015)

0.0009(0.2577). . -0.1381 0,0172)

C(pvalue), . . . ,: ::::-0.0003(0.1248)

-0.7408(0.0973)-0.0004(0,4097)

-1 1.6035(0.0001). 0.0004 0.4660)

S (c-value) .... . 0,2126(0.6991)

-:,S; ;(0.1226) -3 4615(0.0010)..

1,3032(0.01 97)O 6291

2:?%%?:10.0398 0,0268 0.0000 0,3196Adjusted R2”.

1Data transformed by the natural Ioganthm before fitting modelParameter not included in model.

70 ‘U.S Govemmenl Printing Office 1993— 342-327/80004

Vital and Health Statisticsseries descriptions

SERIES 1.

SERIES 2.

SERIES 3.

SERIES 4.

SERIES 5,

SERIES 6,

SERIES 10

SERIES 11

SERIES 12,

SERIES 13.

Programs snd Collection Procedures–These reports

describe the data collection programs of the National Center

for Health Statistics, They include descriptions of the

methods used to collect and process the data, definitions,

and other material necessa~ for understanding the data.

Data Evaluation and Methods Research – These reports

are studies of new statistical methods and include analytical

techniques, objective evaluations of reliability of collected

data, and contributions to statistical theory, These studies

also include experimental tests of new survey methods and

comparisons of U.S. methodology with those of other

countries.

Analytical snd Epidemiological Studies–These reports

present analytical or interpretive studies based on vital and

health statistics. These reports carry the analyses further than

the expository types of reports in the other series.

Documents and Committee Reports–These are final

reports of major committees concerned with vital and health

statistics and documents such as recommended model vital

registration laws and revised birth and death certificates,

International Vital and Health Statistics Reports – These

reports are analytical or descriptive reports that compare U ,S.

vital and health statistics with those of other countries orpresent other international data of relevance to the health

statistics system of the United States,

Cognition and Survey Measurement – These reports are

from the National Laboratory for Collaborative Research in

Cognltton and Survey Measurement. They use methods of

cognitive science to design, evaluate, and test survey

instruments.

Dats From the National Health Interview Survey– These

reports contain statistics on illness; unintentional injuries;

disability use of hospital, medical, and other health services;

and a wide range of special current health topics covering

many aspects of health behaviors, health status, and health

care utilization, They are based on data collected in a

continuing national household interview survey.

Data From the National Health Examination Survey, the

National Health and Nutrition Examination Surveys, and

the Hispanic Health and Nutrition Examination Survey -

Data from direct examination, testing, and measurement on

representative samples of the ciwhan noninstitutional ized

population provide the basis for (1) medically defined total

prevalence of specific diseases or conditions in the United

States and the distributions of the population with respect to

physical, physiological, and psychological characteristics,

and (2) analyses of trends and relationships among various

measurements and between survey periods.

Dsta From the Institutionalized Population Surveys–

Discontinued in 1975. Reports from these surveys are

included m Series 13.

Data From the National Health Care Survey–These

reports contain statistics on health resources and the public’s

use of health care resources including ambulatory, hospital,

and long-term care serwces based on data collected directly

from health care providers and provider records.

SERIES 14,

SERIES 15,

SERIES 16.

SERIES 20.

SERIES 21.

SERIES 22.

SERIES 23.

SERIES 24,

Data on Health Resources: Manpower and FacilitIes–

Discontinued in 1990. Reports on the numbers, geographic

distribution, and characteristics of health resources are nowincluded in Series 13.

Data From Special Surveys–These reports contain

statistics on health and health-related topics collected in

special surveys that are not part of the continuing data

systems of the National Center for Health Statistics.

Compilations of Advance Data #rem Vital and Health

Statistics –Advance Data Reports provide early release of

Information from the National Center for Health Statistics’

health and demographic surveys, They are compiled in the

order in which they are published. Some of these releases

may be followed by detailed reports in Series 10–13.

Data on Mortality–These reports contain statistics on

mortallty that are not included in regular, annual, or monthly

reports. Special analyses by cause of death, age, other

demographic variables, and geographic and trend analyses

are included.

Data on Natality, Marriage, and Divorce–These reports

contain statistics on natality, marriage, and divorce that are

not included in regular, annual, or monthly reports. Special

analyses by health and demographic variables and

geographic and trend analyses are included.

Data From the National Mortality and Natality Surveys –

Discontinued in 1975. Reports from these sample surveys,

based on vital records, are now published in Series 20 or 21.

Data From the National Survey of Family Growth –These

reports contain statistics on factors that affect birth rates,

including contraception, infertility, cohabitation, marriage,

dworce, and remarriage; adoption; use of medical care for

family planning and infertility; and related maternal and infant

health topics. These statistics are based on national surveys

of childbearing age.

Compilations of Data on Natality, Mortality, Marriage,

Divorce, and Induced Terminations of Pregnancy–These include advance repotis of births, deaths, marriages,

and divorces based on final data from the National Vital

Statistics System that were pubk.hed as supplements to the

Monthly L4tal S/afcstics Reporl (MVSR). These reports provide

highlights and summaries of detailed data subsequently

published in V//a/ Statistics of the United Sfates. Other

supplements to the MVSR published here provide selected

findings based on final data from ihe National Vitai Statistics

System and may be followed by detailed reports in Series 20

or 21.

For answers to questions about this report or for a Ilst of reports published

m these series, contact:

Scientific and Technical Information Branch

National Center for Health Statlatfcs

Centers for Disease Control and Prevention

Public Health Service

6525 Belcrest Road, Room 1064

Hyaftswle, MD 20782

(301 ) 436-8500

DEPARTMENT OFHEALTH & HUMAN SERVICES

Public Health ServiceOantera for Disease Control and PreventionNational Center for Health Statistics6525 Balcrest RoadHyattaville, Maryland 20782

OFFICIAL BUSINESSPENALTY FOR PRIVATE USE, $300

BULK RATEPOSTAG#&E: PAID

PERMIT NO. G-281

DHHS Publication No. (PHS) 93-1856, Series 20, No. 21

Date post:	16-Jul-2020
Category:	Documents
Upload:	others
View:	0 times
Download:	0 times